Last update:
Sun Dec 26 08:54:51 MST 2021
Eric Langford and
Neil Schwertman and
Margaret Owens Is the Property of Being Positively
Correlated Transitive? . . . . . . . . . 322--325
Carolyn Lauzon and
Brian Caffo Easy Multiplicity Control in Equivalence
Testing Using Two One-Sided Tests . . . 147--154
Robert G. Easterling Passion-Driven Statistics . . . . . . . 1--5
David R. Fox Desired and Feared--- Quo vadis or Quid
agis? . . . . . . . . . . . . . . . . . 6--9
Roger W. Hoerl and
Ronald D. Snee Moving the Statistics Profession Forward
to the Next Level . . . . . . . . . . . 10--14
Brian C. Kotz Thoughts on the Importance of the
Undergraduate Statistics Experience to
the Discipline's (and Society's) Future 15--18
Frank P. Soler Who Is Teaching Introductory Statistics? 19--20
Rick Cleary and
Sam Woolford The Business of Desire and Fear . . . . 21--22
Elart von Collani Response to \em ``Desired and Feared ---
What Do We Do Now and Over the Next 50
Years'' by Xiao-Li Meng . . . . . . . . 23--25
Xiao-Li Meng Rejoinder: Better Training, Deeper
Thinking, and More Policing . . . . . . 26--29
Richard H. Browne The $t$-Test $p$ Value and Its
Relationship to the Effect Size and $
P(X > Y) $ . . . . . . . . . . . . . . . 30--33
Wolf Schwarz Comparing Continuous and Discrete
Birthday Coincidences: ``Same-Day''
versus ``Within 24 Hours'' . . . . . . . 34--36
Marios G. Pavlides and
Michael D. Perlman On Estimating the Face Probabilities of
Shaved Dice With Partial Data . . . . . 37--45
Stephen B. Vardeman and
Joanne R. Wendelberger and
Tom Burr and
Michael S. Hamada and
Leslie M. Moore and
J. Marcus Jobe and
Max D. Morris and
Huaiqing Wu Elementary Statistical Methods and
Measurement Error . . . . . . . . . . . 46--51
Christopher J. Malone and
John Gabrosek and
Phyllis Curtiss and
Matt Race Resequencing Topics in an Introductory
Applied Statistics Course . . . . . . . 52--58
Julie Legler and
Paul Roback and
Kathryn Ziegler-Graham and
James Scott and
Sharon Lane-Getaz and
Matthew Richey A Model for an Interdisciplinary
Undergraduate Research Program . . . . . 59--69
T. D. Stanley and
Stephen B. Jarrell and
Hristos Doucouliagos Could It Be Better to Discard 90% of the
Data? A Statistical Paradox . . . . . . 70--77
Michael A. Proschan and
Jeffrey S. Rosenthal Beyond the Quintessential Quincunx . . . 78--82
Henry S. Lynn and
Zhanjian Dong and
Zhe Mu Comparison of Software Algorithms for
Calculating REML Wald Type Confidence
Limits for the Between-Group Variance
Component in a Small Sample One-Way
Random Effects Model Example . . . . . . 83--87
Anonymous Reviews of Books and Teaching Materials 88--96
Deborah Nolan and
Duncan Temple Lang Computing in the Statistics Curricula 97--107
Paul Fearnhead and
Benjamin M. Taylor Calculating Strength of Schedule, and
Choosing Teams for March Madness . . . . 108--115
David H. Annis and
Peter C. Kiessler and
Robert Lund and
Tara L. Steuber Estimation in Reversible Markov Chains 116--120
Devan V. Mehrotra and
Xiaomin Lu and
Xiaoming Li Rank-Based Analyses of Stratified
Experiments: Alternatives to the van
Elteren Test . . . . . . . . . . . . . . 121--130
C. Lozada-Can and
A. C. Davison Three Examples of Accurate Likelihood
Inference . . . . . . . . . . . . . . . 131--139
J. T. Ormerod and
M. P. Wand Explaining Variational Approximations 140--153
Gunnar Taraldsen and
Bo Henry Lindqvist Improper Priors Are Not Improper . . . . 154--158
Xiang Zhou and
Jerome P. Reiter A Note on Bayesian Inference After
Multiple Imputation . . . . . . . . . . 159--163
Nicholas T. Longford Bayesian Decision Making About Small
Binomial Rates With Uncertainty About
the Prior . . . . . . . . . . . . . . . 164--169
Yijun Zuo Is the $t$ Confidence Interval $^-X \pm
t_\alpha (n - 1) (s / \sqrt {\{ n \} })$
Optimal? . . . . . . . . . . . . . . . . 170--173
Michael Friendly and
Pedro Valero-Mora and
Joaquín Ibáñez Ulargui The First (Known) Statistical Graph:
Michael Florent van Langren and the
``Secret'' of Longitude . . . . . . . . 185--191
Michael P. Cohen Letter to the Editor . . . . . . . . . . 192--192
Martin Hogbin and
W. Nijdam Letter to the Editor . . . . . . . . . . 193--194
Anonymous Correction . . . . . . . . . . . . . . . 195--195
David Beaudoin and
Tim B. Swartz Strategies for Pulling the Goalie in
Hockey . . . . . . . . . . . . . . . . . 197--204
Martin Wolkewitz and
Arthur Allignol and
Martin Schumacher and
Jan Beyersmann Two Pitfalls in Survival Analyses of
Time-Dependent Exposure: a Case Study in
a Cohort of Oscar Nominees . . . . . . . 205--211
Nancy S. Hall Ronald Fisher and Gertrude Cox: Two
Statistical Pioneers Sometimes Cooperate
and Sometimes Collide . . . . . . . . . 212--220
David Aldous and
Tung Phan When Can One Test an Explanation?
Compare and Contrast Benford's Law and
the Fuzzy CLT . . . . . . . . . . . . . 221--227
Mark Inlow A Moment Generating Function Proof of
the Lindeberg--Lévy Central Limit Theorem 228--230
Nitis Mukhopadhyay When Finiteness Matters: Counterexamples
to Notions of Covariance, Correlation,
and Independence . . . . . . . . . . . . 231--233
Joe Hirschberg and
Jenny Lye A Geometric Comparison of the Delta and
Fieller Confidence Intervals . . . . . . 234--241
Jesse Frey Fixed-Width Sequential Confidence
Intervals for a Proportion . . . . . . . 242--249
Hsiuying Wang Closed Form Prediction Intervals Applied
for Disease Counts . . . . . . . . . . . 250--256
Russell Y. Webb and
Peter J. Smith and
Abdulla Firag On the Probability of Improved Accuracy
With Increased Sample Size . . . . . . . 257--262
Ke-Hai Yuan and
Peter M. Bentler Consistency of Normal-Distribution-Based
Pseudo Maximum Likelihood Estimates When
Data Are Missing at Random . . . . . . . 263--267
Anonymous Reviews of Books and Teaching Materials 268--275
Anonymous Letters to the Editor . . . . . . . . . 276--276
Stephen M. Stigler The Changing History of Robustness . . . 277--281
Joseph Blitzstein and
Xiao-Li Meng Nano-Project Qualifying Exam Process: An
Intensified Dialogue Between Students
and Faculty . . . . . . . . . . . . . . 282--290
Zhiguo Li and
Jeremy M. G. Taylor and
Bin Nan Construction of Confidence Intervals and
Regions for Ordered Binomial
Probabilities . . . . . . . . . . . . . 291--298
Ruth Heller and
Paul R. Rosenbaum and
Dylan S. Small Using the Cross-Match Test to Appraise
Covariate Balance in Matched Pairs . . . 299--309
Michael J. Schell Identifying Key Statistical Papers From
1985 to 2002 Using Citation Data for
Applied Biostatisticians . . . . . . . . 310--317
Ariel Alonso and
Saskia Liti\`ere and
Annouschka Laenen A Note on the Indeterminacy of the
Random-Effects Distribution in
Hierarchical Models . . . . . . . . . . 318--324
James S. Hodges and
Brian J. Reich Adding Spatially-Correlated Errors Can
Mess Up the Fixed Effect You Love . . . 325--334
Henry W. Block and
Thomas H. Savits A General Example for Benford Data . . . 335--339
Sander Greenland Simpson's Paradox From Adding Constants
in Contingency Tables as an Example of
Bayesian Noncollapsibility . . . . . . . 340--344
Kenneth Rice A Decision-Theoretic Formulation of
Fisher's Approach to Testing . . . . . . 345--349
Elena Kulinskaya and
Stephan Morgenthaler and
Robert G. Staudte Variance Stabilizing the Difference of
Two Binomial Proportions . . . . . . . . 350--356
Anonymous Reviews of Books and Teaching Materials 357--361
Anonymous Letters to the Editor . . . . . . . . . 362--363
Anonymous 2010 Editorial Collaborators . . . . . . 364--365
Anonymous Index to Volume 64 . . . . . . . . . . . 366--368
Joan Garfield and
Andrew Zieffler and
Daniel Kaplan and
George W. Cobb and
Beth L. Chance and
John P. Holcomb Rethinking Assessment of Student
Learning in Statistics Courses . . . . . 1--10
Dylan S. Small and
Kevin G. Volpp and
Paul R. Rosenbaum Structured Testing of $ 2 \times 2 $
Factorial Effects: An Analytic Plan
Requiring Fewer Observations . . . . . . 11--15
Andrew J. Cron and
Mike West Efficient Classification-Based
Relabeling in Mixture Models . . . . . . 16--20
Bo Lu and
Robert Greevy and
Xinyi Xu and
Cole Beck Optimal Nonbipartite Matching and Its
Statistical Applications . . . . . . . . 21--30
Chan Zeng and
Zhaoxing Pan and
Samantha MaWhinney and
Anna E. Barón and
Gary O. Zerbe Permutation and $F$ Distribution of
Tests in the Multivariate General Linear
Model . . . . . . . . . . . . . . . . . 31--36
Herbert A. David Euler's Contributions to Mathematics
Useful in Statistics . . . . . . . . . . 37--42
Robert A. Oster Section Editor's Notes . . . . . . . . . 43--43
William V. Harper and
Ted G. Eschenbach and
Thomas R. James Concerns About Maximum Likelihood
Estimation for the Three-Parameter
Weibull Distribution: Case Study of
Statistical Software . . . . . . . . . . 44--54
Yeting Du and
Christopher Hundt and
David B. Wolfson Previously Unrecognized Links Between
Statistical Dependence and Some Common
Modes of Convergence . . . . . . . . . . 55--60
Anonymous Reviews of Books and Teaching Materials 61--68
Anonymous Letters to the Editors . . . . . . . . . 69--69
Melissa D. Begg and
Roger D. Vaughan Are Biostatistics Students Prepared to
Succeed in the Era of Interdisciplinary
Science? (And How Will We Know?) . . . . 71--79
Jean-François Plante and
Nancy Reid Statistics in the News . . . . . . . . . 80--88
M. C. Jones and
J. F. Rosco and
Arthur Pewsey Skewness-Invariant Measures of Kurtosis 89--95
James B. McDonald and
Patrick Turley Distributional Characteristics: Just a
Few More Moments . . . . . . . . . . . . 96--103
Hakan Demirtas and
Donald Hedeker A Practical Way for Computing
Approximate Lower and Upper Correlation
Bounds . . . . . . . . . . . . . . . . . 104--109
Kevin Hayes A Geometrical Interpretation of an
Alternative Formula for the Sample
Covariance . . . . . . . . . . . . . . . 110--112
Robert A. Oster Section Editor's Notes . . . . . . . . . 113--114
S. S. J. Wang and
M. P. Wand Using \tt Infer.NET for Statistical
Analyses . . . . . . . . . . . . . . . . 115--126
Li Zhu and
Liyun Ni and
Bin Yao Group Sequential Methods and Software
Applications . . . . . . . . . . . . . . 127--135
Anonymous Reviews of Books and Teaching Materials 136--139
Anonymous Letters to the Editors . . . . . . . . . 140--140
Theodore P. Hill Letter to the Editor: Benford's Law
Blunders . . . . . . . . . . . . . . . . 141--141
John W. Emerson and
Taylor B. Arnold Statistical Sleuthing by Leveraging
Human Nature: a Study of Olympic Figure
Skating . . . . . . . . . . . . . . . . 143--148
Dennis Gilliland and
Don Edwards Using Randomized Confidence Limits to
Balance Risk: An Application to Medicare
Investigations . . . . . . . . . . . . . 149--153
Hayley E. Jones and
David J. Spiegelhalter The Identification of ``Unusual''
Health-Care Providers From a
Hierarchical Model . . . . . . . . . . . 154--163
Nathan Morris and
Robert Elston A Note on Comparing the Power of Test
Statistics at Low Significance Levels 164--166
Carey E. Priebe Fisher's Conditionality Principle in
Statistical Pattern Recognition . . . . 167--169
G. D. I. Barr and
K. Dowie Swivelling Probabilities --- The Winning
Hand at Poker . . . . . . . . . . . . . 170--176
Christine Franklin and
Brad Hartlaub and
Roxy Peck and
Richard Scheaffer and
David Thiel and
Katherine Tranbarger Freier AP Statistics: Building Bridges Between
High School and College Statistics
Education . . . . . . . . . . . . . . . 177--182
Nicole A. Lazar and
Jaxk Reeves and
Christine Franklin A Capstone Course for Undergraduate
Statistics Majors . . . . . . . . . . . 183--189
Marlene A. Smith Missteps in Multiple Regression Student
Projects: Beyond
Association-Not-Causation . . . . . . . 190--197
Yong Kong The Expectation of Sample Central
Moments . . . . . . . . . . . . . . . . 198--199
Robert A. Oster Section Editor's Notes . . . . . . . . . 200--200
Anonymous Reviews of Books and Teaching Materials 201--208
Anonymous Letters to the Editors . . . . . . . . . 209--211
Dennis D. Boos and
Leonard A. Stefanski $P$-Value Precision and Reproducibility 213--221
Colin Foster The Significance of a Square-Root Rule 222--222
Josue G. Martinez and
Raymond J. Carroll and
Samuel Müller and
Joshua N. Sampson and
Nilanjan Chatterjee Empirical Performance of
Cross-Validation With Oracle Methods in
a Genomics Context . . . . . . . . . . . 223--228
José R. Zubizarreta and
Caroline E. Reinke and
Rachel R. Kelz and
Jeffrey H. Silber and
Paul R. Rosenbaum Matching for Several Sparse Nominal
Variables in a Case-Control Study of
Readmission Following Surgery . . . . . 229--238
Yung-Pin Chen Do the Chi-Square Test and Fisher's
Exact Test Agree in Determining Extreme
for $ 2 \times 2 $ Tables? . . . . . . . 239--245
Prakash Gorroochurn Errors of Probability in Historical
Context . . . . . . . . . . . . . . . . 246--254
Lyle D. Broemeling An Account of Early Statistical
Inference in Arab Cryptology . . . . . . 255--257
Edith Seier and
Douglas G. Bonett A Polyplot for Visualizing Location,
Spread, Skewness, and Kurtosis . . . . . 258--261
Yves Nievergelt Increasing Data with a Negative Slope 262--262
Robert A. Oster Section Editor's Notes . . . . . . . . . 263--264
Kellie B. Keeling and
Robert J. Pavur Statistical Accuracy of Spreadsheet
Software . . . . . . . . . . . . . . . . 265--273
Brady T. West and
Andrzej T. Galecki An Overview of Current Software
Procedures for Fitting Linear Mixed
Models . . . . . . . . . . . . . . . . . 274--282
Anonymous Reviews of Books and Teaching Materials 283--297
Anonymous 2011 Editorial Collaborators . . . . . . 298--299
Philippe Barbe and
William C. Horrace A Critical Reanalysis of Maryland State
Police Searches . . . . . . . . . . . . 1--7
Jesse Frey and
Andrés Pérez Exact Binomial Confidence Intervals for
Randomized Response . . . . . . . . . . 8--15
Robert S. Poulson and
Gary L. Gadbury and
David B. Allison Treatment Heterogeneity and Individual
Qualitative Interaction . . . . . . . . 16--24
A. S. Hedayat and
Guoqin Su Robustness of the Simultaneous
Estimators of Location and Scale From
Approximating a Histogram by a Normal
Density Curve . . . . . . . . . . . . . 25--33
Bailey K. Fosdick and
Adrian E. Raftery Estimating the Correlation in Bivariate
Normal Data With Known Variances and
Small Sample Sizes . . . . . . . . . . . 34--41
Michael L. Lavine and
James S. Hodges On Rigorous Specification of ICAR Models 42--49
Alvaro Nosedal-Sanchez and
Curtis B. Storlie and
Thomas C. M. Lee and
Ronald Christensen Reproducing Kernel Hilbert Spaces for
Penalized Regression: a Tutorial . . . . 50--60
Daniel F. Stone Measurement Error and the Hot Hand . . . 61--66
Anonymous Reviews of Books and Teaching Materials 67--74
John W. Seaman III and
John W. Seaman Jr. and
James D. Stamey Hidden Dangers of Specifying
Noninformative Priors . . . . . . . . . 77--84
Tanya P. Garcia and
Priya Kohli and
Mohsen Pourahmadi Regressograms and Mean-Covariance Models
for Incomplete Longitudinal Data . . . . 85--91
C. A. Field and
Zhen Pang and
A. H. Welsh On the Boundedness and Nonmonotonicity
of Generalized Score Statistics . . . . 92--98
Shelley Hurwitz and
John S. Gardenier Ethical Guidelines for Statistical
Practice: The First 60 Years and Beyond 99--103
Ruud Wetzels and
Raoul P. P. P. Grasman and
Eric-Jan Wagenmakers A Default Bayesian Hypothesis Test for
ANOVA Designs . . . . . . . . . . . . . 104--111
Ananda Sen On the Interrelation Between the Sample
Mean and the Sample Variance . . . . . . 112--117
Lynne Steuerle Schofield Community-Based Learning Versus
Traditional Courses in Statistics: Who
Takes Them and Why . . . . . . . . . . . 118--123
Jay M. Ver Hoef Who Invented the Delta Method? . . . . . 124--127
Robert A. Oster Section Editor's Notes . . . . . . . . . 128--128
A. Narayanan A Review of Eight Software Packages for
Structural Equation Modeling . . . . . . 129--138
Anonymous Reviews of Books and Teaching Materials 139--151
Anonymous Letter to the Editor . . . . . . . . . . 152--153
Theodore G. Karrison and
Mark J. Ratain and
Walter M. Stadler and
Gary L. Rosner Estimation of Progression-Free Survival
for All Treated Patients in the
Randomized Discontinuation Trial Design 155--162
Iliana Ignatova and
Roland C. Deutsch and
Don Edwards Closed Sequential and Multistage
Inference on Binary Responses With or
Without Replacement . . . . . . . . . . 163--172
Mehmet Kocak and
Arzu Onar-Thomas A Simulation-Based Evaluation of the
Asymptotic Power Formulas for Cox Models
in Small Sample Cases . . . . . . . . . 173--179
Lingyun Zhang and
Xinzhong Xu and
Gemai Chen The Exact Likelihood Ratio Test for
Equality of Two Normal Populations . . . 180--184
José R. Berrendero and
Javier Cárcamo The Tangent Classifier . . . . . . . . . 185--194
Michael Friendly and
Nicolas de Sainte Agathe André-Michel Guerry's Ordonnateur
Statistique: The First Statistical
Calculator? . . . . . . . . . . . . . . 195--200
Anonymous Reviews of Books and Teaching Materials 201--206
Lawren Smithline Letter to the Editor . . . . . . . . . . 207--207
Sarah Keogh and
Donal O'Neill A Statistical Analysis of the Fairness
of Alternative Handicapping Systems in
Ten-Pin Bowling . . . . . . . . . . . . 209--213
Steven G. From A Comparison of the Moment and Factorial
Moment Bounds for Discrete Random
Variables . . . . . . . . . . . . . . . 214--216
Tommy Wright The Equivalence of Neyman Optimum
Allocation for Sampling and Equal
Proportions for Apportioning the U.S.
House of Representatives . . . . . . . . 217--224
Yves Tillé and
Matti Langel Histogram-Based Interpolation of the
Lorenz Curve and Gini Index for Grouped
Data . . . . . . . . . . . . . . . . . . 225--231
Liang Hong A Remark on the Alternative Expectation
Formula . . . . . . . . . . . . . . . . 232--233
Stavros Kourouklis A New Estimator of the Variance Based on
Minimizing Mean Squared Error . . . . . 234--236
J. Kelly Cunningham Should \em S Get More Press? . . . . . . 237--237
Robert A. Oster Section Editor's Notes . . . . . . . . . 238--238
Anonymous Reviews of Books and Teaching Materials 239--242
Anonymous Letter to the Editor . . . . . . . . . . 243--245
Anonymous Editorial Collaborators . . . . . . . . 246--247
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Andrew Gelman and
Christian P. Robert ``Not Only Defended But Also Applied'':
The Perceived Absurdity of Bayesian
Inference . . . . . . . . . . . . . . . 1--5
Stephen Stigler Comment: Bayesian Inference: The Rodney
Dangerfield of Statistics? . . . . . . . 6--7
Stephen E. Fienberg Comment: Bayesian Ideas Reemerged in the
1950s . . . . . . . . . . . . . . . . . 7--8
Wesley O. Johnson Comment: Bayesian Statistics in the
Twenty First Century . . . . . . . . . . 9--11
Deborah G. Mayo Discussion: Bayesian Methods: Applied?
Yes. Philosophical Defense? In Flux . . 11--15
Andrew Gelman and
Christian P. Robert Rejoinder: The Anti-Bayesian Moment and
Its Passing . . . . . . . . . . . . . . 16--17
Sandy Zabell Paul Meier on Legal Consulting . . . . . 18--21
Rick Picard and
Brian Williams Rare Event Estimation for Computer
Models . . . . . . . . . . . . . . . . . 22--32
Valeria Sambucini On the Nature of the Stationary Point of
a Quadratic Response Surface: a Bayesian
Simulation-Based Approach . . . . . . . 33--41
Bruce Levin and
Cheng-Shiun Leu Note on an Identity Between Two Unbiased
Variance Estimators for the Grand Mean
in a Simple Random Effects Model . . . . 42--43
Roberto Behar and
Pere Grima and
Lluís Marco-Almagro Twenty-Five Analogies for Explaining
Statistical Concepts . . . . . . . . . . 44--48
Subhash C. Bagui and
Dulal K. Bhaumik and
K. L. Mehra A Few Counter Examples Useful in
Teaching Central Limit Theorems . . . . 49--56
Stephen M. Stigler The Digital Approximation of the
Binomial by the Poisson . . . . . . . . 57--59
Anonymous Reviews of Books and Teaching Materials 60--63
Anonymous Letters to the Editor . . . . . . . . . 64--66
Paul R. Rosenbaum and
Jeffrey H. Silber Using the Exterior Match to Compare Two
Entwined Matched Control Groups . . . . 67--75
Micha Mandel Simulation-Based Confidence Intervals
for Functions With Complicated
Derivatives . . . . . . . . . . . . . . 76--81
Anthony J. Webster and
Richard Kemp Estimating Omissions From Searches . . . 82--89
Sergio Wechsler and
Rafael Izbicki and
Luís Gustavo Esteves A Bayesian Look at Nonidentifiability: A
Simple Example . . . . . . . . . . . . . 90--93
Stephen B. Vardeman and
Max D. Morris Majority Voting by Independent
Classifiers Can Increase Error Rates . . 94--96
Mithat Gönen Visualizing Longitudinal Data With
Dropouts . . . . . . . . . . . . . . . . 97--103
Robert A. Oster Section Editor's Notes . . . . . . . . . 104--104
Richard G. Lomax Statistical Accuracy of iPad
Applications: An Initial Examination . . 105--108
Anonymous Reviews of Books and Teaching Materials 109--113
Anonymous Letter to the Editor . . . . . . . . . . 114--114
Brian Caffo and
Carolyn Lauzon and
Joachim Röhmel Correction to ``Easy Multiplicity
Control in Equivalence Testing Using Two
One-Sided Tests'' . . . . . . . . . . . 115--116
Francesca Greselin and
Antonio Punzo Closed Likelihood Ratio Testing
Procedures to Assess Similarity of
Covariance Matrices . . . . . . . . . . 117--128
Kevin Wright Revisiting Immer's Barley Data . . . . . 129--133
Chong Zhang and
Yufeng Liu and
Zhengxiao Wu On the Effect and Remedies of Shrinkage
on Classification Probability Estimation 134--142
Jingchen Hu and
Robin Mitra and
Jerome Reiter Are Independent Parameter Draws
Necessary for Multiple Imputation? . . . 143--149
Richard J. Barker and
William A. Link Bayesian Multimodel Inference by RJMCMC:
A Gibbs Sampling Approach . . . . . . . 150--156
Daniel A. Griffith Better Articulating Normal Curve Theory
for Introductory Mathematical Statistics
Students: Power Transformations and
Their Back-Transformations . . . . . . . 157--169
Robert A. Oster Section Editor's Notes . . . . . . . . . 170--170
Yoonsang Kim and
Young-Ku Choi and
Sherry Emery Logistic Regression With Multiple Random
Effects: A Simulation Study of
Estimation Methods and Statistical
Packages . . . . . . . . . . . . . . . . 171--182
Anonymous Reviews of Books and Teaching Materials 183--189
Anonymous Letter to the Editor . . . . . . . . . . 190--190
Kristian Lum and
Megan Emily Price and
David Banks Applications of Multiple Systems
Estimation in Human Rights Research . . 191--200
Stephen E. Fienberg Comment: Innovations Associated with
Multiple Systems Estimation in Human
Rights Settings . . . . . . . . . . . . 201--202
Joseph B. Kadane Comment . . . . . . . . . . . . . . . . 202--203
Fritz Scheuren Comment . . . . . . . . . . . . . . . . 203--205
Kristian Lum and
Megan Emily Price and
David Banks Rejoinder . . . . . . . . . . . . . . . 205--206
Paul Fogel and
Douglas M. Hawkins and
Chris Beecher and
George Luta and
S. Stanley Young A Tale of Two Matrix Factorizations . . 207--218
Nicholas J. Horton I Hear, I Forget. I Do, I Understand: A
Modified Moore-Method Mathematical
Statistics Course . . . . . . . . . . . 219--228
Howard Gitlow and
Hernan Awad Intro Stats Students Need Both
Confidence and Tolerance (Intervals) . . 229--234
Yeyi Zhu and
Ladia M. Hernandez and
Peter Mueller and
Yongquan Dong and
Michele R. Forman Data Acquisition and Preprocessing in
Studies on Humans: What is Not Taught in
Statistics Classes? . . . . . . . . . . 235--241
Richard L. Warr and
Roger A. Erich Should the Interquartile Range Divided
by the Standard Deviation be Used to
Assess Normality? . . . . . . . . . . . 242--244
Changyong Feng and
Hongyue Wang and
Yu Han and
Yinglin Xia and
Xin M. Tu The Mean Value Theorem and Taylor's
Expansion in Statistics . . . . . . . . 245--248
Sivan Aldor-Noiman and
Lawrence D. Brown and
Andreas Buja and
Wolfgang Rolke and
Robert A. Stine The Power to See: A New Graphical Test
of Normality . . . . . . . . . . . . . . 249--260
Anonymous Reviews of Books and Teaching Materials 261--265
Nancy L. Segal and
Jorge Torres A Repeated Grammatical Error Does Not
Make it Right . . . . . . . . . . . . . 266--266
Anonymous Editorial Collaborators . . . . . . . . 267--268
Timothy W. Armistead Resurrecting the Third Variable: A
Critique of Pearl's Causal Analysis of
Simpson's Paradox . . . . . . . . . . . 1--7
Judea Pearl Comment: Understanding Simpson's Paradox 8--13
Ronald Christensen Comment . . . . . . . . . . . . . . . . 13--17
Keli Liu and
Xiao-Li Meng Comment: A Fruitful Resolution to
Simpson's Paradox via Multiresolution
Inference . . . . . . . . . . . . . . . 17--29
Timothy Armistead Rejoinder . . . . . . . . . . . . . . . 30--31
Peng Ding Three Occurrences of the
Hyperbolic-Secant Distribution . . . . . 32--35
Edward J. Bedrick Two Useful Reformulations of the Hazard
Ratio . . . . . . . . . . . . . . . . . 36--41
Geoffrey Jones and
Wesley O. Johnson Prior Elicitation: Interactive
Spreadsheet Graphics With Sliders Can Be
Fun, and Informative . . . . . . . . . . 42--51
Lynn Roy LaMotte The Gram--Schmidt Construction as a
Basis for Linear Models . . . . . . . . 52--55
A. J. Hayter Simultaneous Confidence Intervals for
Several Quantiles of an Unknown
Distribution . . . . . . . . . . . . . . 56--62
Matthew Schofield and
Patrick Breheny Reviews of Books and Teaching Materials 63--66
Nitis Mukhopadhyay Griffith, D. A. (2013), ``Better
Articulating Normal Curve Theory for
Introductory Mathematical Statistics
Students: Power Transformations and
Their Back--Transformations,''
\booktitleThe American Statistician, \bf
67, 157-169: Comment by Mukhopadhyay and
Reply . . . . . . . . . . . . . . . . . 67--67
Daniel A. Griffith Reply . . . . . . . . . . . . . . . . . 67--69
David A. Harville The Need for More Emphasis on
Prediction: A ``Nondenominational''
Model-Based Approach . . . . . . . . . . 71--83
Hal Stern Comment . . . . . . . . . . . . . . . . 83--84
Dale L. Zimmerman Comment . . . . . . . . . . . . . . . . 85--86
Robert McCulloch Comment . . . . . . . . . . . . . . . . 87--88
Donald A. Berry and
Scott M. Berry Comment . . . . . . . . . . . . . . . . 88--89
David A. Harville Rejoinder . . . . . . . . . . . . . . . 89--92
Woojoo Lee and
Yudi Pawitan Direct Calculation of the Variance of
Maximum Penalized Likelihood Estimates
via EM Algorithm . . . . . . . . . . . . 93--97
Reto Bürgin and
Gilbert Ritschard A Decorated Parallel Coordinate Plot for
Categorical Longitudinal Data . . . . . 98--103
Matthew W. Guerra and
Justine Shults A Note on the Simulation of
Overdispersed Random Variables With
Specified Marginal Means and Product
Correlations . . . . . . . . . . . . . . 104--107
Ulrike Grömping Mosaic Plots are Useful for Visualizing
Low-Order Projections of Factorial
Designs . . . . . . . . . . . . . . . . 108--116
Anonymous Reviews of Books and Teaching Materials 117--124
Stuart Baker and
Jian-Lun Xu and
Ping Hu and
Peng Huang Vardeman, S. B. and Morris, M. D.
(2013), ``Majority Voting by Independent
Classifiers can Increase Error Rates,''
The American Statistician, \bf 67,
94--96: Comment by Baker, Xu, Hu, and
Huang and Reply . . . . . . . . . . . . 125--126
Bart Holland Segal, N. L., and Torres, J. (2013), ``A
Repeated Grammatical Error Does Not Make
it Right,'' The American Statistician,
\bf 67, 266: Comment by Holland and
Reply . . . . . . . . . . . . . . . . . 127--127
Stephen B. Vardeman and
Max D. Morris Reply . . . . . . . . . . . . . . . . . 127--127
Nancy L. Segal and
Jorge Luis Torres Reply . . . . . . . . . . . . . . . . . 127--128
Yefim Haim Michlin and
Ofer Shaham Ignatova, I., Deutsch, R. C., and
Edwards, D. (2012), ``Closed Sequential
and Multistage Inference on Binary
Responses With or Without Replacement,''
The American Statistician, \bf 66,
163--172: Comment by Michlin and Shaham
and Reply . . . . . . . . . . . . . . . 128--128
Lina Ignatova and
Roland C. Deutsch and
Don Edwards Reply . . . . . . . . . . . . . . . . . 129--129
Gul Inan and
Ozlem Ilk-Dag and
Alexander de Leon Kim, Y., Choi, Y.-K., and Emery, S.
(2013), ``Logistic Regression With
Multiple Random Effects: A Simulation
Study of Estimation Methods and
Statistical Packages,'' The American
Statistician, \bf 67, 171--182 . . . . . 129--130
Yoonsang Kim and
Sherry Emery Reply . . . . . . . . . . . . . . . . . 130--131
Anonymous Correction . . . . . . . . . . . . . . . 132--132
Mark F. Schilling and
Jimmy A. Doi A Coverage Probability Approach to
Finding an Optimal Binomial Confidence
Procedure . . . . . . . . . . . . . . . 133--145
Weiwen Miao and
Joseph L. Gastwirth New Statistical Tests for Detecting
Disparate Impact Arising From Two-Stage
Selection Processes . . . . . . . . . . 146--157
Albert Vexler and
Wan-Min Tsai and
Alan D. Hutson A Simple Density-Based Empirical
Likelihood Ratio Test for Independence 158--169
Djilali Ait Aoudia and
Éric Marchand On a Simple Construction of a Bivariate
Probability Function With a Common
Marginal . . . . . . . . . . . . . . . . 170--173
Christopher E. Marks and
Andrew G. Glen and
Matthew W. Robinson and
Lawrence M. Leemis Applying Bootstrap Methods to System
Reliability . . . . . . . . . . . . . . 174--182
Kai Zhang and
Lawrence D. Brown and
Edward George and
Linda Zhao Uniform Correlation Mixture of Bivariate
Normal Distributions and Hypercubically
Contoured Densities That Are Marginally
Normal . . . . . . . . . . . . . . . . . 183--187
Liang Hong Two New Elementary Derivations of
Geometric Expectation . . . . . . . . . 188--190
Peter H. Westfall Kurtosis as Peakedness, 1905--2014.
R.I.P. . . . . . . . . . . . . . . . . . 191--195
Catherine Michalopoulou A Unique Collaboration: Prominent
Statisticians' Survey Work in Greece in
1946 . . . . . . . . . . . . . . . . . . 196--203
Robert A. Oster Section Editor's Notes . . . . . . . . . 204--204
Sara Fontdecaba and
Pere Grima and
Xavier Tort-Martorell Analyzing DOE With Statistical Software
Packages: Controversies and Proposals 205--211
Anonymous Reviews of Books and Teaching Materials 212--219
Changyong Feng and
Hongyue Wang and
Yu Han and
Yinglin Xia and
Xin M. Tu Reply . . . . . . . . . . . . . . . . . 220--220
Liang Hong Letter to the Editor . . . . . . . . . . 220--220
Robert F. Bordley Reference Class Forecasting: Resolving
Its Challenge to Statistical Modeling 221--229
Jennifer L. Kirk and
Michael P. Fay An Introduction to Practical Sequential
Inferences via Single-Arm Binary
Response Studies Using the
\pkgbinseqtest R Package . . . . . . . . 230--242
Jun Yan and
Chao Guo and
Laurie E. Paarlberg Are Nonprofit Antipoverty Organizations
Located Where They Are Needed? A Spatial
Analysis of the Greater Hartford Region 243--252
Fan Yang and
José R. Zubizarreta and
Dylan S. Small and
Scott Lorch and
Paul R. Rosenbaum Dissonant Conclusions When Testing the
Validity of an Instrumental Variable . . 253--263
Phillip E. Pfeifer and
Yael Grushka-Cockayne and
Kenneth C. Lichtendahl Jr. The Promise of Prediction Contests . . . 264--270
Thaddeus Tarpey and
R. Todd Ogden and
Eva Petkova and
Ronald Christensen A Paradoxical Result in Estimating
Regression Coefficients . . . . . . . . 271--276
Shaoji Xu A Property of Geometric Mean Regression 277--281
B. O'Neill Some Useful Moment Results in Sampling
Problems . . . . . . . . . . . . . . . . 282--296
A. B. Owen and
P. A. Roediger The Sign of the Logistic Regression
Coefficient . . . . . . . . . . . . . . 297--301
Vito M. R. Muggeo and
Gianfranco Lovison The ``Three Plus One'' Likelihood-Based
Test Statistics: Unified Geometrical and
Graphical Interpretations . . . . . . . 302--306
Anonymous Reviews of Books and Teaching Materials 307--315
Peng Ding Comment on Tarpey, T., Ogden, R. T.,
Petkova, E., and Christensen R. (2014),
``A Paradoxical Result in Estimating
Regression Coefficients,'' \booktitleThe
American Statistician, \bf 68, 271--276 316--316
Nitis Mukhopadhyay Comment and Reply: Warr, R. L. and
Erich, R. A. (2013), ``Should the
Interquartile Range Divided by the
Standard Deviation be Used to Assess
Normality?,'' \booktitleThe American
Statistician \bf 67, 242--244 . . . . . 316--317
Richard L. Warr and
Roger A. Erich Reply . . . . . . . . . . . . . . . . . 317--317
Sivan Aldor-Noiman and
Lawrence D. Brown and
Andreas Buja and
Wolfgang Rolke and
Robert A. Stine Comment: Aldor-Noiman, S., Brown, L. D.,
Buja, A., Rolke, W., and Stine, R. A.
(2013), ``The Power to See: A New
Graphical Test of Normality,''
\booktitleThe American Statistician, \bf
67, 249--260 . . . . . . . . . . . . . . 318--318
Anonymous Editorial Collaborators . . . . . . . . 319--320
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Gregory P. Samsa Has It Really Been Demonstrated That
Most Genomic Research Findings Are
False? . . . . . . . . . . . . . . . . . 1--4
Joel E. Cohen Markov's Inequality and Chebyshev's
Inequality for Tail Probabilities: A
Sharper Image . . . . . . . . . . . . . 5--7
Liang Hong The Absolute Difference Law For
Expectations . . . . . . . . . . . . . . 8--10
Lisa M. Lee and
Frances A. McCarty and
Tenny R. Zhang Ethical Numbers: Ethics Training in U.S.
Graduate Statistics Programs, 2013--2014 11--16
Valeria Espinosa and
Donald B. Rubin Did the Military Interventions in the
Mexican Drug War Increase Violence? . . 17--27
Wei Wang and
Dylan S. Small Monotone B-Spline Smoothing for a
Generalized Linear Model Response . . . 28--33
Guangxiang Zhang and
John J. Chen Biostatistics Faculty and NIH Awards at
U.S. Medical Schools . . . . . . . . . . 34--40
Stephen Portnoy Maximizing Probability Bounds Under
Moment-Matching Restrictions . . . . . . 41--44
Yaakov Malinovsky and
Paul S. Albert A Note on the Minimax Solution for the
Two-Stage Group Testing Problem . . . . 45--52
Anonymous Book Review: Reviews of Books and
Teaching Materials . . . . . . . . . . . 53--61
Spyros Missiakoulis Letter to the Editor . . . . . . . . . . 62--62
Jessica Utts and
Nicole Lazar Editors' Note . . . . . . . . . . . . . 63--63
Christy Chuang-Stein and
Narayanaswamy Balakrishnan and
Marcus Berzofsky and
Amy Herring and
Fred Hulting and
John McKenzie and
Dionne Price and
Stephen Stigler and
George Williams and
Ronald Wasserstein Celebrating the 175th Anniversary of ASA 64--67
Robert L. Mason and
John D. McKenzie Jr. A Brief History of the American
Statistical Association, 1990--2014 . . 68--78
James J. Cochran ASA Presidents and Executive Directors
Look Back on their Terms in Office . . . 79--85
Jon R. Kettenring and
Kenneth J. Koehler and
John D. McKenzie Jr. Challenges and Opportunities for
Statistics in the Next 25 Years . . . . 86--90
Robert N. Rodriguez Who Will Celebrate Our 200th
Anniversary? Growing the Next Generation
of ASA Members . . . . . . . . . . . . . 91--95
Ron Wasserstein Communicating the Power and Impact of
Our Profession: A Heads Up for the Next
Executive Directors of the ASA . . . . . 96--99
Jessica Utts The Many Facets of Statistics Education:
175 Years of Common Themes . . . . . . . 100--107
David L. DeMets and
Janet Turk Wittes and
Nancy L. Geller The Influence of Biostatistics at the
National Heart, Lung, and Blood
Institute . . . . . . . . . . . . . . . 108--120
Allan J. Rossman and
Roy St. Laurent and
Josh Tabor Advanced Placement Statistics: Expanding
the Scope of Statistics Education . . . 121--126
Eric A. Vance Recent Developments and Their
Implications for the Future of Academic
Statistical Consulting Centers . . . . . 127--137
Nicholas J. Horton Challenges and Opportunities for
Statistics and Statistical Education:
Looking Back, Looking Forward . . . . . 138--145
Saralees Nadarajah On the Computation of Gauss
Hypergeometric Functions . . . . . . . . 146--148
Anonymous Reviews of Books and Teaching Materials 149--153
Robert Easterling There's Nothing Wrong With
Clopper--Pearson Binomial Confidence
Limits . . . . . . . . . . . . . . . . . 154--155
Mark F. Schilling and
Jimmy A. Doi Reply . . . . . . . . . . . . . . . . . 155--156
Liang Hong Another Remark on the Alternative
Expectation Formula . . . . . . . . . . 157--159
Per Gösta Andersson A Classroom Approach to the Construction
of an Approximate Confidence Interval of
a Poisson Mean Using One Observation . . 160--164
Joyee Ghosh and
Andrew E. Ghattas Bayesian Variable Selection Under
Collinearity . . . . . . . . . . . . . . 165--173
Darrick Yee and
Andrew Ho Discreteness Causes Bias in
Percentage-Based Comparisons: A Case
Study From Educational Testing . . . . . 174--181
Timothy A. C. Hughes and
Jaechoul Lee A New Test for Short Memory in Long
Memory Time Series . . . . . . . . . . . 182--190
Shiyao Liu and
Huaiqing Wu and
William Q. Meeker Understanding and Addressing the
Unbounded ``Likelihood'' Problem . . . . 191--200
Anne-Laure Boulesteix and
Robert Hable and
Sabine Lauer and
Manuel J. A. Eugster A Statistical Framework for Hypothesis
Testing in Real Data Comparison Studies 201--212
Derek S. Young and
Glenn F. Johnson and
Mosuk Chow and
James L. Rosenberger The Challenges in Developing an Online
Applied Statistics Program: Lessons
Learned at Penn State University . . . . 213--220
Hyunju Lee and
Ji Hwan Cha On Two General Classes of Discrete
Bivariate Distributions . . . . . . . . 221--230
Brigitte Baldi and
Jessica Utts What Your Future Doctor Should Know
About Statistics: Must-Include Topics
for Introductory Undergraduate
Biostatistics . . . . . . . . . . . . . 231--240
P. Vellaisamy On Probabilistic Proofs of Certain
Binomial Identities . . . . . . . . . . 241--243
Anonymous Reviews of Books and Teaching Materials 244--252
R. Dennis Cook and
Liliana Forzani and
Adam Rothman Letter to the Editor . . . . . . . . . . 253--254
Thaddeus Tarpey and
R. Todd Ogden and
Eva Petkova and
Ronald Christensen Reply . . . . . . . . . . . . . . . . . 254--255
Peng Ding Reply . . . . . . . . . . . . . . . . . 255--256
Iliana Ignatova and
Roland Deutsch and
Don Edwards Kirk, J. L., and Fay, M. P. ``An
Introduction to Practical Sequential
Inferences Via Single-Arm Binary
Response Studies Using the Binseqtest R
Package,'' \em The American
Statistician, \bf 68, 230--242 . . . . . 256--257
Emil M. Friedman Nontransitivity, Correlation, and
Causation: Langford, E., Schwertman, N.,
and Owens, M. (2001), ``Is the Property
of Being Positively Correlated
Transitive?'' The American Statistician,
\bf 55, 322--325: Comment by Friedman 257--257
Stavros D. Veresoglou and
Matthias C. Rillig Evidence-Based Data Analysis: Protecting
the World From Bad Code? Comment by
Veresoglou and Rillig . . . . . . . . . 257--257
Nicholas J. Horton and
Johanna S. Hardin Teaching the Next Generation of
Statistics Students to ``Think With
Data'': Special Issue on Statistics and
the Undergraduate Curriculum . . . . . . 259--265
George Cobb Mere Renovation is Too Little Too Late:
We Need to Rethink our Undergraduate
Curriculum from the Ground Up . . . . . 266--282
Nicholas Chamandy and
Omkar Muralidharan and
Stefan Wager Teaching Statistics at Google-Scale . . 283--291
Deborah Nolan and
Duncan Temple Lang Explorations in Statistics Research: An
Approach to Expose Undergraduates to
Authentic Data Analysis . . . . . . . . 292--299
Byran J. Smucker and
A. John Bailer Beyond Normal: Preparing Undergraduates
for the Work Force in a Statistical
Consulting Capstone . . . . . . . . . . 300--306
Scott D. Grimshaw A Framework for Infusing Authentic Data
Experiences Within Statistics Courses 307--314
Jennifer L. Green and
Erin E. Blankenship Fostering Conceptual Understanding in
Mathematical Statistics . . . . . . . . 315--325
Natalie J. Blades and
G. Bruce Schaalje and
William F. Christensen The Second Course in Statistics: Design
and Analysis of Experiments? . . . . . . 326--333
Ben Baumer A Data Science Course for
Undergraduates: Thinking With Data . . . 334--342
J. Hardin and
R. Hoerl and
Nicholas J. Horton and
D. Nolan and
B. Baumer and
O. Hall-Holt and
P. Murrell and
R. Peng and
P. Roback and
D. Temple Lang and
M. D. Ward Data Science in Statistics Curricula:
Preparing Students to ``Think with
Data'' . . . . . . . . . . . . . . . . . 343--353
Shonda Kuiper and
Rodney X. Sturdivant Using Online Game-Based Simulations to
Strengthen Students' Understanding of
Practical Statistical Issues in
Real-World Data Analysis . . . . . . . . 354--361
Nathan Tintle and
Beth Chance and
George Cobb and
Soma Roy and
Todd Swanson and
Jill VanderStoep Combating Anti-Statistical Thinking
Using Simulation-Based Methods
Throughout the Undergraduate Curriculum 362--370
Tim C. Hesterberg What Teachers Should Know About the
Bootstrap: Resampling in the
Undergraduate Statistics Curriculum . . 371--386
Davit Khachatryan Incorporating Statistical Consulting
Case Studies in Introductory Time Series
Courses . . . . . . . . . . . . . . . . 387--396
Scotland Leman and
Leanna House and
Andrew Hoegh Developing a New Interdisciplinary
Computational Analytics Undergraduate
Program: A
Qualitative-Quantitative-Qualitative
Approach . . . . . . . . . . . . . . . . 397--408
Beth Chance and
Roxy Peck From Curriculum Guidelines to Learning
Outcomes: Assessment at the Program
Level . . . . . . . . . . . . . . . . . 409--416
Allison Amanda Moore and
Jennifer J. Kaplan Program Assessment for an Undergraduate
Statistics Major . . . . . . . . . . . . 417--424
Anonymous Reviews of Books and Teaching Materials 425--434
Anonymous Editorial Collaborators . . . . . . . . 435--438
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Xu Xu and
Peter Z. G. Qian and
Qing Liu Samurai Sudoku-Based Space-Filling
Designs for Data Pooling . . . . . . . . 1--8
Marcio A. Diniz and
Jasper De Bock and
Arthur Van Camp Characterizing Dirichlet Priors . . . . 9--17
Omar A. Kittaneh and
Mohammad A. U. Khan and
Muhammed Akbar and
Husam A. Bayoud Average Entropy: A New Uncertainty
Measure with Application to Image
Segmentation . . . . . . . . . . . . . . 18--24
Merritt Lyon and
Li C. Cheung and
Joseph L. Gastwirth The Advantages of Using Group Means in
Estimating the Lorenz Curve and Gini
Index From Grouped Data . . . . . . . . 25--32
Eugene Demidenko The $p$-Value You Can't Buy . . . . . . 33--38
Joseph J. Lee and
Donald B. Rubin Evaluating the Validity of Post-Hoc
Subgroup Inferences: A Case Study . . . 39--46
Corwin Matthew Zigler The Central Role of Bayes' Theorem for
Joint Estimation of Causal Effects and
Propensity Scores . . . . . . . . . . . 47--54
Robert Lund and
Gang Liu and
Qin Shao A New Approach to ANOVA Methods for
Autocorrelated Data . . . . . . . . . . 55--62
Timothy W. Armistead Misunderstood and Unattributed:
Revisiting M. H. Doolittle's Measures of
Association, With a Note on Bayes'
Theorem . . . . . . . . . . . . . . . . 63--73
R. Wayne Oldford Self-Calibrating Quantile-Quantile Plots 74--90
Jocelyn T. Chi and
Eric C. Chi and
Richard G. Baraniuk $k$-POD: A Method for $k$-Means
Clustering of Missing Data . . . . . . . 91--99
John E. Angus Bootstrapping a Universal Pivot When
Nuisance Parameters are Estimated . . . 100--107
Tal Galili and
Isaac Meilijson An Example of an Improvable
Rao--Blackwell Improvement, Inefficient
Maximum Likelihood Estimator, and
Unbiased Generalized Bayes Estimator . . 108--113
Iain L. MacDonald and
Brendon M. Lapham Even More Direct Calculation of the
Variance of a Maximum
Penalized-Likelihood Estimator . . . . . 114--118
Philip B. Stark Book Review: \booktitlePrivacy, Big
Data, and the Public Good: Frameworks
for Engagement, Julia Lane, Victoria
Stodden, Stefan Bender, and Helen
Nissenbaum (eds.). New York, NY:
Cambridge University Press, 2014, xix +
320 pp., \$29.99 (P), ISBN:
978-1-107-63768-9} . . . . . . . . . . . 119--119
Anonymous Reviews of Books and Teaching Materials 120--126
Stephen M. Stigler Letter to the Editor . . . . . . . . . . 127--127
Ronald L. Wasserstein and
Nicole A. Lazar The ASA's Statement on $p$-Values:
Context, Process, and Purpose . . . . . 129--133
Hossein Hoshyarmanesh and
Amirhossein Karami and
Adel Mohammadpour Confidence Intervals for the Scale
Parameter of Exponential Family of
Distributions . . . . . . . . . . . . . 134--137
Pere Grima and
Lourdes Rodero and
Xavier Tort-Martorell Explaining the Importance of Variability
to Engineering Students . . . . . . . . 138--142
Hakan Demirtas A Note on the Relationship Between the
Phi Coefficient and the Tetrachoric
Correlation Under Nonnormal Underlying
Distributions . . . . . . . . . . . . . 143--148
Henry S. Lynn Training the Next Generation of
Statisticians: From Head to Heart . . . 149--151
Michael D. Porter A Statistical Approach to Crime Linkage 152--165
Martin L. Lesser and
Meredith B. Akerman and
Nina Kohn Analogies for Helping Clinicians and
Investigators Better Understand the
Principles and Practice of Biostatistics 166--170
Eloísa Díaz-Francés Simple Estimation Intervals for Poisson,
Exponential, and Inverse Gaussian Means
Obtained by Symmetrizing the Likelihood
Function . . . . . . . . . . . . . . . . 171--180
Thaddeus Tarpey and
R. Todd Ogden Statistical Modeling to Inform Optimal
Game Strategy: Markov Plays H-O-R-S-E 181--186
Susan M. Perkins and
Peter Bacchetti and
Cynthia S. Davey and
Christopher J. Lindsell and
Madhu Mazumdar and
Robert A. Oster and
Peter N. Peduzzi and
David M. Rocke and
Kyle D. Rudser and
Mimi Kim and
the Biostatistics and
Epidemiology and
Research Design (BERD) Key Function Committee of the Clinical and
Translational Science (CTSA) Consortium Best Practices for Biostatistical
Consultation and Collaboration in
Academic Health Centers . . . . . . . . 187--194
Min Wang and
Guangying Liu A Simple Two-Sample Bayesian $t$-Test
for Hypothesis Testing . . . . . . . . . 195--201
Adam Loy and
Lendie Follett and
Heike Hofmann Variations of $Q$--$Q$ Plots: The Power
of Our Eyes! . . . . . . . . . . . . . . 202--214
Christopher S. Pentoney and
Dale E. Berger Confidence Intervals and the
Within-the-Bar Bias . . . . . . . . . . 215--220
Anonymous Reviews of Books and Teaching Materials 221--223
Saralees Nadarajah Letter to the Editor . . . . . . . . . . 224--224
Anonymous Correction . . . . . . . . . . . . . . . 225--225
Prakash Gorroochurn On Galton's Change From ``Reversion'' to
``Regression'' . . . . . . . . . . . . . 227
Xavier Puig and
Martí Font and
Josep Ginebra A Unified Approach to Authorship
Attribution and Verification . . . . . . 232
Albert Vexler and
Li Zou and
Alan D. Hutson Data-Driven Confidence Interval
Estimation Incorporating Prior
Information with an Adjustment for
Skewed Data . . . . . . . . . . . . . . 243
J. G. Liao and
Duanping Liao and
Arthur Berg Calibrated Bayes Factors in Assessing
Genetic Association Models . . . . . . . 250
John C. Wierman The Class Joke Contest: Encouraging
Creativity and Improving Attendance . . 257
Deborah Nolan and
Jamis Perrett Teaching and Learning Data
Visualization: Ideas and Assignments . . 260
Miguel de Carvalho Mean, What do You Mean? . . . . . . . . 270
Jia Liu and
Daniel J. Nordman and
William Q. Meeker The Number of MCMC Draws Needed to
Compute Bayesian Credible Bounds . . . . 275
Nicholas G. Reich and
Justin Lessler and
Krzysztof Sakrejda and
Stephen A. Lauer and
Sopon Iamsirithaworn and
Derek A. T. Cummings Case Study in Evaluating Time Series
Prediction Models Using the Relative
Mean Absolute Error . . . . . . . . . . 285
Peng Ding On the Conditional Distribution of the
Multivariate t Distribution . . . . . . 293
Christian Kleiber and
Achim Zeileis Visualizing Count Data Regressions Using
Rootograms . . . . . . . . . . . . . . . 296
Jyotirmoy Sarkar and
Mamunur Rashid Visualizing Mean, Median, Mean
Deviation, and Standard Deviation of a
Set of Numbers . . . . . . . . . . . . . 304
Anonymous Reviews of Books and Teaching Materials 313
Ben O'Neill Corrigendum . . . . . . . . . . . . . . 323
Kimihiro Noguchi and
Fernando Marmolejo-Ramos Assessing Equality of Means Using the
Overlap of Range-Preserving Confidence
Intervals . . . . . . . . . . . . . . . 325--334
Leonhard Held and
Manuela Ott How the Maximal Evidence of $P$-Values
Against Point Null Hypotheses Depends on
Sample Size . . . . . . . . . . . . . . 335--341
Christopher Abdul-Chani and
Jesse Frey Improving the Big East Conference
Basketball Tournament . . . . . . . . . 342--349
Matthias Katzfuss and
Jonathan R. Stroud and
Christopher K. Wikle Understanding the Ensemble Kalman Filter 350--357
Yan Xia and
Yanyun Yang Bias Introduced by Rounding in Multiple
Imputation for Ordered Categorical
Variables . . . . . . . . . . . . . . . 358--364
Brendan Rocks Interval Estimation for the ``Net
Promoter Score'' . . . . . . . . . . . . 365--372
David Quarfoot and
Richard A. Levine How Robust Are Multirater Interrater
Reliability Indices to Changes in
Frequency Distribution? . . . . . . . . 373--384
Jack Bowden and
Chris Jackson Weighing Evidence ``Steampunk'' Style
via the Meta-Analyser . . . . . . . . . 385--394
Adam Jaeger Computation of Two- and
Three-Dimensional Confidence Regions
With the Likelihood Ratio . . . . . . . 395--398
Joel E. Cohen Statistics of Primes (and Probably Twin
Primes) Satisfy Taylor's Law from
Ecology . . . . . . . . . . . . . . . . 399--404
Amy Wagaman Meeting Student Needs for Multivariate
Data Analysis: A Case Study in Teaching
an Undergraduate Multivariate Data
Analysis Course . . . . . . . . . . . . 405--412
Piaomu Liu and
Edsel A. Peña Sojourning With the Homogeneous Poisson
Process . . . . . . . . . . . . . . . . 413--423
Anonymous Reviews of Books and Teaching Materials 424--433
Lawrence M. Lesser Letter to the Editor . . . . . . . . . . 434--434
Anonymous Editorial Collaborators . . . . . . . . 435--437
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Aarti Shah What is Mentoring? . . . . . . . . . . . 1--2
David Morganstein Mentoring in the ASA: A Commentary . . . 3--4
Mary Kwasny Mentoring in the ASA: A Rejoinder . . . 5--5
Christine M. Anderson-Cook and
Michael S. Hamada and
Leslie M. Moore and
Joanne R. Wendelberger Statistical Mentoring at Early Training
and Career Stages . . . . . . . . . . . 6--14
Eric A. Vance and
Donna E. LaLonde and
Lin Zhang The Big Tent for Statistics: Mentoring
Required . . . . . . . . . . . . . . . . 15--22
Eric A. Vance and
Erin Tanenbaum and
Amarjot Kaur and
Mark C. Otto and
Richard Morris An Eight-Step Guide to Creating and
Sustaining a Mentoring Program . . . . . 23--29
Mark Daniel Ward Building Bridges: The Role of an
Undergraduate Mentor . . . . . . . . . . 30--33
Lauren Vollmer and
Aparna Keshaviah and
Dmitriy Poznyak and
Sharon Zhao and
Fei Xing and
Nicholas Beyler Re-Defining the \em Who, \em When, and
\em Where of Mentoring for Professional
Statisticians . . . . . . . . . . . . . 34--37
Kim Love and
Eric A. Vance and
Frank E. Harrell, Jr. and
Dallas E. Johnson and
Michael H. Kutner and
Ronald D. Snee and
Doug Zahn Developing a Career in the Practice of
Statistics: The Mentor's Perspective . . 38--46
Amanda L. Golbeck Mentoring Faculty Women in Statistics:
Exploring Challenges and Opportunities
for Leadership Development . . . . . . . 47--54
Jacqueline M. Hughes-Oliver Mentoring to Achieve Diversity in
Graduate Programs . . . . . . . . . . . 55--60
Jiangtao Gou and
Fengqing (Zoe) Zhang Experience Simpson's Paradox in the
Classroom . . . . . . . . . . . . . . . 61--66
Leandro da Silva Pereira and
Lucas Monteiro Chaves and
Devanil Jaques de Souza An Intuitive Geometric Approach to the
Gauss Markov Theorem . . . . . . . . . . 67--70
Li Zhu and
Kimberly F. Sellers and
Darcy Steeg Morris and
Galit Shmueli Bridging the Gap: A Generalized
Stochastic Process for Count Data . . . 71--80
Richard G. Spencer and
Benjamin D. Cortese and
Vanessa A. Lukas and
Nancy Pleshko Point Estimates of Test Sensitivity and
Specificity from Sample Means and
Variances . . . . . . . . . . . . . . . 81--87
Edward L. Ionides and
Alexander Giessing and
Yaacov Ritov and
Scott E. Page Response to the ASA's Statement on
$p$-Values: Context, Process, and
Purpose . . . . . . . . . . . . . . . . 88--89
Susan E. Hodge Letter to the Editor: Average Entropy
Does Not Measure Uncertainty . . . . . . 89--90
Omar A. Kittaneh Response to ``Average Entropy Does Not
Measure Uncertainty'' . . . . . . . . . 91--91
Reza Ramezan Reviews of Books and Teaching Materials 92--96
Brian Knaeble and
Seth Dutter Reversals of Least-Square Estimates and
Model-Invariant Estimation for
Directions of Unique Effects . . . . . . 97--105
Shaobo Jin and
Måns Thulin and
Rolf Larsson Approximate Bayesianity of Frequentist
Confidence Intervals for a Binomial
Proportion . . . . . . . . . . . . . . . 106--111
Hillel Bar-Gera The Target Parameter of Adjusted
$R$-Squared in Fixed-Design Experiments 112--119
Yudi Pawitan and
Youngjo Lee Wallet Game: Probability, Likelihood,
and Extended Likelihood . . . . . . . . 120--122
Bartolomeo Stellato and
Bart P. G. Van Parys and
Paul J. Goulart Multivariate Chebyshev Inequality With
Estimated Mean and Variance . . . . . . 123--127
Ryan Martin A Statistical Inference Course Based on
$p$-Values . . . . . . . . . . . . . . . 128--136
Jo A. Wick and
Hung-Wen Yeh and
Byron J. Gajewski A Bayesian Analysis of Synchronous
Distance Learning versus Matched
Traditional Control in Graduate
Biostatistics Courses . . . . . . . . . 137--144
Robert A. Stine Explaining Normal Quantile-Quantile
Plots Through Animation: The
Water-Filling Analogy . . . . . . . . . 145--147
Philippa Swartz and
Mike Grosskopf and
Derek Bingham and
Tim B. Swartz The Quality of Pitches in Major League
Baseball . . . . . . . . . . . . . . . . 148--154
Amy L. Phelps and
Kathryn A. Szabat The Current Landscape of Teaching
Analytics to Business Students at
Institutions of Higher Education: Who is
Teaching What? . . . . . . . . . . . . . 155--161
Olanrewaju Akande and
Fan Li and
Jerome Reiter An Empirical Comparison of Multiple
Imputation Methods for Categorical Data 162--170
Stuart R. Lipsitz and
Garrett M. Fitzmaurice and
Debajyoti Sinha and
Nathanael Hevelone and
Edward Giovannucci and
Quoc-Dien Trinh and
Jim C. Hu Efficient Computation of Reduced
Regression Models . . . . . . . . . . . 171--176
Zhi-Sheng Ye and
Nan Chen Closed-Form Estimators for the Gamma
Distribution Derived From Likelihood
Equations . . . . . . . . . . . . . . . 177--181
Anonymous Reviews of Books and Teaching Materials 182--186
Michael P. Cohen Non-Asymptotic Mean and Variance Also
Approximately Satisfy Taylor's Law . . . 187--187
Iain L. MacDonald Models for count data . . . . . . . . . 187--190
Kimberly F. Sellers and
Darcy S. Morris and
Galit Shmueli and
Li Zhu Reply [to ``Models for count data''] . . 190--190
Wen-Han Hwang and
Richard Huggins and
Lu-Fang Chen A Note on the Inverse Birthday Problem
With Applications . . . . . . . . . . . 191--201
Jarod Y. L. Lee and
James J. Brown and
Louise M. Ryan Sufficiency Revisited: Rethinking
Statistical Algorithms in the Big Data
Era . . . . . . . . . . . . . . . . . . 202--208
Roger W. Hoerl and
Ronald D. Snee Statistical Engineering: An Idea Whose
Time Has Come? . . . . . . . . . . . . . 209--219
Heidi Spratt and
Erin E. Fox and
Nawar Shara and
Madhu Mazumdar Strategies for Success: Early-Stage
Collaborating Biostatistics Faculty in
an Academic Health Center . . . . . . . 220--230
Sitsofe Tsagbey and
Miguel de Carvalho and
Garritt L. Page All Data are Wrong, but Some are Useful?
Advocating the Need for Data Auditing 231--235
Tahir Ekin and
Francesca Ieva and
Fabrizio Ruggeri and
Refik Soyer On the Use of the Concentration Function
in Medical Fraud Assessment . . . . . . 236--241
Victor Fossaluza and
Rafael Izbicki and
Gustavo Miranda da Silva and
Luís Gustavo Esteves Coherent Hypothesis Testing . . . . . . 242--248
William B. Fairley and
Peter J. Kempthorne and
Julie Novak and
Scott McGarvie and
Steve Crunk and
Bee Leng Lee and
Alan J. Salzberg Resolving a Multi-Million Dollar
Contract Dispute With a Latin Square . . 249--258
Jeff Witmer Bayes and MCMC for Undergraduates . . . 259--264
Subhash Bagui and
K. L. Mehra Convergence of Known Distributions to
Limiting Normal or Non-normal
Distributions: An Elementary Ratio
Technique . . . . . . . . . . . . . . . 265--271
Panagiotis (Panos) Toulis A Useful Pivotal Quantity . . . . . . . 272--274
Chunpeng Fan and
Lin Wang and
Lynn Wei Comparing Two Tests for Two Rates . . . 275--281
Anonymous Reviews of Books and Teaching Materials 282--289
Ning Hao and
Hao Helen Zhang A Note on High-Dimensional Linear
Regression With Interactions . . . . . . 291--297
Frank Tuyl A Note on Priors for the Multinomial
Model . . . . . . . . . . . . . . . . . 298--301
Thomas J. DiCiccio and
Todd A. Kuffner and
G. Alastair Young A Simple Analysis of the Exact
Probability Matching Prior in the
Location-Scale Model . . . . . . . . . . 302--304
Jesse Frey and
Yimin Zhang What Do Interpolated Nonparametric
Confidence Intervals for Population
Quantiles Guarantee? . . . . . . . . . . 305--309
Dabao Zhang A Coefficient of Determination for
Generalized Linear Models . . . . . . . 310--316
Alejandro Quintela-del-Río and
Mario Francisco-Fernández Excel Templates: A Helpful Tool for
Teaching Statistics . . . . . . . . . . 317--325
Peter K. Dunn and
Michael D. Carey and
Michael B. Farrar and
Alice M. Richardson and
Christine McDonald Introductory Statistics Textbooks and
the GAISE Recommendations . . . . . . . 326--335
Luís Gustavo Esteves and
Rafael Izbicki and
Rafael Bassi Stern Teaching Decision Theory Proof
Strategies Using a Crowdsourcing Problem 336--343
Philip M. Westgate and
Woodrow W. Burchett A Comparison of Correlation Structure
Selection Penalties for Generalized
Estimating Equations . . . . . . . . . . 344--353
Joseph B. Lang Mean--Minimum Exact Confidence Intervals 354--368
Anonymous Reviews of Books and Teaching Materials 369--372
Ronald Christensen Comment on ``The Target Parameter of
Adjusted R-Squared in Fixed-Design
Experiments'' by Bar-Gera (2017) . . . . 373--375
Anonymous Editorial Collaborators . . . . . . . . 376--377
Anonymous Editorial Board EOV . . . . . . . . . . ??
Hadley Wickham and
Jennifer Bryan and
Nicole Lazar Introduction: Special Issue on Data
Science . . . . . . . . . . . . . . . . 1--1
Karl W. Broman and
Kara H. Woo Data Organization in Spreadsheets . . . 2--10
Lance A. Waller Documenting and Evaluating Data Science
Contributions in Academic Promotion in
Departments of Statistics and
Biostatistics . . . . . . . . . . . . . 11--19
Jennifer Bryan Excuse Me, Do You Have a Moment to Talk
About Version Control? . . . . . . . . . 20--27
Dirk Eddelbuettel and
James Joseph Balamuta Extending R with C++: A Brief
Introduction to Rcpp . . . . . . . . . . 28--36
Sean J. Taylor and
Benjamin Letham Forecasting at Scale . . . . . . . . . . 37--45
Ricardo Bion and
Robert Chang and
Jason Goodman How R Helps Airbnb Make the Most of its
Data . . . . . . . . . . . . . . . . . . 46--52
Shannon E. Ellis and
Jeffrey T. Leek How to Share Data for Collaboration . . 53--57
Mine Çetinkaya-Rundel and
Colin Rundel Infrastructure and Tools for Teaching
Computing Throughout the Statistical
Curriculum . . . . . . . . . . . . . . . 58--65
Benjamin S. Baumer Lessons From Between the White Lines for
Isolated Data Scientists . . . . . . . . 66--71
Steven Wu and
Luke Bornn Modeling Offensive Player Movement in
Professional Basketball . . . . . . . . 72--79
Ben Marwick and
Carl Boettiger and
Lincoln Mullen Packaging Data Analytical Work
Reproducibly Using R (and Friends) . . . 80--88
Daniel Kaplan Teaching Stats for Data Science . . . . 89--96
Amelia McNamara and
Nicholas J. Horton Wrangling Categorical Data in R . . . . 97--104
Anonymous Reviews of Books and Teaching Materials 105--113
Ronald Christensen Comment on ``A Note on Collinearity
Diagnostics and Centering'' by Velilla
(2018) . . . . . . . . . . . . . . . . . 114--117
Santiago Velilla Reply . . . . . . . . . . . . . . . . . 117--119
Alan D. Hutson and
Albert Vexler A Cautionary Note on Beta Families of
Distributions and the Aliases Within . . 121--129
Sashi Kanth Tadinada and
Abhinav Gupta Simulation of Constrained Variables in
Engineering Risk Analyses . . . . . . . 130--139
Santiago Velilla A Note on Collinearity Diagnostics and
Centering . . . . . . . . . . . . . . . 140--146
Joel B. Greenhouse and
Howard J. Seltman On Teaching Statistical Practice: From
Novice to Expert . . . . . . . . . . . . 147--154
Rolf Sundberg A Note on ``Shaved Dice'' Inference . . 155--157
José A. Sánchez-Espigares and
Pere Grima and
Lluís Marco-Almagro Visualizing Type II Error in Normality
Tests . . . . . . . . . . . . . . . . . 158--162
Daniel R. Jeske and
Janet M. Myhre Regression Using Pairs vs. Regression on
Differences: A Real-life Case Study for
a Master's Level Methods Class . . . . . 163--168
Saralees Nadarajah and
Rui Li An Expression for Fast Computation of
Sample Central Moments . . . . . . . . . 169--171
Peng Ding and
Joseph K. Blitzstein On the Gaussian Mixture Representation
of the Laplace Distribution . . . . . . 172--174
P. M. Kroonenberg and
Albert Verbeek The Tale of Cochran's Rule: My
Contingency Table has so Many Expected
Values Smaller than 5, What Am I to Do? 175--183
Timothy G. Gregoire and
David L. R. Affleck Estimating Desired Sample Size for
Simple Random Sampling of a Skewed
Population . . . . . . . . . . . . . . . 184--190
Kathryn Schaefer Ziemer and
Bianica Pires and
Vicki Lancaster and
Sallie Keller and
Mark Orr and
Stephanie Shipp A New Lens on High School Dropout: Use
of Correspondence Analysis and the
Statewide Longitudinal Data System . . . 191--198
Alexander B. Sibley and
Zhiguo Li and
Yu Jiang and
Yi-Ju Li and
Cliburn Chan and
Andrew Allen and
Kouros Owzar Facilitating the Calculation of the
Efficient Score Using Symbolic Computing 199--205
Anonymous Reviews of Books and Teaching Materials 206--212
Jin Zhang Minimum Volume Confidence Sets for
Two-Parameter Exponential Distributions 213--218
Luca Bagnato and
Lucio De Capitani and
Antonio Punzo Testing for Serial Independence: Beyond
the Portmanteau Approach . . . . . . . . 219--238
Hauke Thaden and
Thomas Kneib Structural Equation Models for Dealing
With Spatial Confounding . . . . . . . . 239--252
Gilbert W. Fellingham and
Jared D. Fisher Predicting Home Run Production in Major
League Baseball Using a Bayesian
Semiparametric Model . . . . . . . . . . 253--264
Weihua An and
Ying Ding The Landscape of Causal Inference:
Perspective From Citation Network
Analysis . . . . . . . . . . . . . . . . 265--277
George W. Divine and
H. James Norton and
Anna E. Barón and
Elizabeth Juarez-Colunga The Wilcoxon--Mann--Whitney Procedure
Fails as a Test of Medians . . . . . . . 278--286
Ashok Kumar Pathak A Simple Probabilistic Proof for the
Alternating Convolution of the Central
Binomial Coefficients . . . . . . . . . 287--288
Daniel Cerqueira and
Danilo Coelho and
Marcelo Fernandes and
Jony Pinto Junior Guns and Suicides . . . . . . . . . . . 289--294
Anonymous Reviews of Books and Teaching Materials 295--299
Olivier J. M. Guilbaud Some Complementary History and Results 300--301
Alan Hutson Comment on ``What Do Interpolated
Nonparametric Confidence Intervals for
Population Quantiles Guarantee?'', Frey
and Zhang (2017) . . . . . . . . . . . . 302--302
Johnny van Doorn and
Alexander Ly and
Maarten Marsman and
Eric-Jan Wagenmakers Bayesian Inference for Kendall's Rank
Correlation Coefficient . . . . . . . . 303--308
Agnan Kessy and
Alex Lewin and
Korbinian Strimmer Optimal Whitening and Decorrelation . . 309--314
Weizhen Wang A ``Paradox'' in Confidence Interval
Construction Using Sufficient Statistics 315--320
Michael Harwell and
Nidhi Kohli and
Yadira Peralta-Torres A Survey of Reporting Practices of
Computer Simulation Studies in
Statistical Research . . . . . . . . . . 321--327
Luke A. Prendergast and
Robert G. Staudte A Simple and Effective Inequality
Measure . . . . . . . . . . . . . . . . 328--343
Jonathan D. Rosenblatt and
Yoav Benjamini On Mixture Alternatives and Wilcoxon's
Signed-Rank Test . . . . . . . . . . . . 344--347
M. L. Walker and
Y. H. Dovoedo and
S. Chakraborti and
C. W. Hilton An Improved Boxplot for Univariate Data 348--353
Sherri Cheng and
Mark Ferris and
Jessica Perolio An Innovative Classroom Approach for
Developing Critical Thinkers in the
Introductory Statistics Course . . . . . 354--358
Alan C. Elliott and
S. Lynne Stokes and
Jing Cao Teaching Ethics in a Statistics
Curriculum with a Cross-Cultural
Emphasis . . . . . . . . . . . . . . . . 359--367
Julian Stander and
Luciana Dalla Valle and
Mario Cortina-Borja A Bayesian Survival Analysis of a
Historical Dataset: How Long Do Popes
Live? . . . . . . . . . . . . . . . . . 368--375
Simon Demers Taylor's Law Holds for Finite OEIS
Integer Sequences and Binomial
Coefficients . . . . . . . . . . . . . . 376--378
DeWayne Derryberry and
Ken Aho and
John Edwards and
Teri Peterson Model Selection and Regression
$t$-Statistics . . . . . . . . . . . . . 379--381
Stephanie C. Hicks and
Rafael A. Irizarry A Guide to Teaching Data Science . . . . 382--391
Ronald Christensen Comment on Knaeble and Dutter (2017) . . 392--393
Anonymous Corrigenda . . . . . . . . . . . . . . . 394--394
Ronald L. Wasserstein and
Allen L. Schirm and
Nicole A. Lazar Moving to a World Beyond ``$ p < 0.05 $'' 1--19
John P. A. Ioannidis What Have We (Not) Learnt from Millions
of Scientific Papers with $P$ Values? 20--25
Steven N. Goodman Why is Getting Rid of $P$-Values So
Hard? Musings on Science and Statistics 26--30
Raymond Hubbard Will the ASA's Efforts to Improve
Statistical Practice be Successful? Some
Evidence to the Contrary . . . . . . . . 31--35
John L. Kmetz Correcting Corrupt Research:
Recommendations for the Profession to
Stop Misuse of $p$-Values . . . . . . . 36--45
Douglas W. Hubbard and
Alicia L. Carriquiry Quality Control for Scientific Research:
Addressing Reproducibility,
Responsiveness, and Relevance . . . . . 46--55
Naomi C. Brownstein and
Thomas A. Louis and
Anthony O'Hagan and
Jane Pendergast The Role of Expert Judgment in
Statistical Inference and Evidence-Based
Decision-Making . . . . . . . . . . . . 56--68
Anthony O'Hagan Expert Knowledge Elicitation: Subjective
but Scientific . . . . . . . . . . . . . 69--81
Lee Kennedy-Shaffer Before $ p < 0.05 $ to Beyond $ p < 0.05
$: Using History to Contextualize
$p$-Values and Significance Testing . . 82--90
Raymond Hubbard and
Brian D. Haig and
Rahul A. Parsa The Limited Role of Formal Statistical
Inference in Scientific Inference . . . 91--98
Blakeley B. McShane and
Jennifer L. Tackett and
Ulf Böckenholt and
Andrew Gelman Large-Scale Replication Projects in
Contemporary Psychological Research . . 99--105
Sander Greenland Valid $P$-Values Behave Exactly as They
Should: Some Misleading Criticisms of
$P$-Values and Their Resolution With
$S$-Values . . . . . . . . . . . . . . . 106--114
Rebecca A. Betensky The $p$-Value Requires Context, Not a
Threshold . . . . . . . . . . . . . . . 115--117
Andrew A. Anderson Assessing Statistical Results:
Magnitude, Precision, and Model
Uncertainty . . . . . . . . . . . . . . 118--121
Joachim I. Krueger and
Patrick R. Heck Putting the $P$-Value in its Place . . . 122--128
Valen E. Johnson Evidence From Marginally Significant $t$
Statistics . . . . . . . . . . . . . . . 129--134
D. A. S. Fraser The $p$-value Function and Statistical
Inference . . . . . . . . . . . . . . . 135--147
Jonathan Rougier $p$-Values, Bayes Factors, and
Sufficiency . . . . . . . . . . . . . . 148--151
Sherri Rose and
Thomas G. McGuire Limitations of $P$-Values and
$R$-squared for Stepwise Regression
Building: A Fairness Demonstration in
Health Policy Risk Adjustment . . . . . 152--156
Jeffrey D. Blume and
Robert A. Greevy and
Valerie F. Welty and
Jeffrey R. Smith and
William D. Dupont An Introduction to Second-Generation
$p$-Values . . . . . . . . . . . . . . . 157--167
William M. Goodman and
Susan E. Spruill and
Eugene Komaroff A Proposed Hybrid Effect Size Plus
$p$-Value Criterion: Empirical Evidence
Supporting its Use . . . . . . . . . . . 168--185
Daniel J. Benjamin and
James O. Berger Three Recommendations for Improving the
Use of $p$-Values . . . . . . . . . . . 186--191
David Colquhoun The False Positive Risk: A Proposal
Concerning What to Do About $p$-Values 192--201
Robert A. J. Matthews Moving Towards the Post $ p < 0.05 $ Era
via the Analysis of Credibility . . . . 202--212
Mark Andrew Gannon and
Carlos Alberto de Bragança Pereira and
Adriano Polpo Blending Bayesian and Classical Tools to
Define Optimal Sample-Size-Dependent
Significance Levels . . . . . . . . . . 213--222
Stanley Pogrow How Effect Size (Practical Significance)
Misleads Clinical Practice: The Case for
Switching to Practical Benefit to Assess
Applied Research Findings . . . . . . . 223--234
Blakeley B. McShane and
David Gal and
Andrew Gelman and
Christian Robert and
Jennifer L. Tackett Abandon Statistical Significance . . . . 235--245
Christopher Tong Statistical Inference Enables Bad
Science; Statistical Thinking Enables
Good Science . . . . . . . . . . . . . . 246--261
Valentin Amrhein and
David Trafimow and
Sander Greenland Inferential Statistics as Descriptive
Statistics: There Is No Replication
Crisis if We Don't Expect Replication 262--270
Robert J. Calin-Jageman and
Geoff Cumming The New Statistics for Better Science:
Ask How Much, How Uncertain, and What
Else Is Known . . . . . . . . . . . . . 271--280
Stephen T. Ziliak How Large Are Your $G$-Values? Try
Gosset's Guinnessometrics When a Little
``$p$'' Is Not Enough . . . . . . . . . 281--290
Dean Billheimer Predictive Inference and Scientific
Reproducibility . . . . . . . . . . . . 291--295
Charles F. Manski Treatment Choice With Trial Data:
Statistical Decision Theory Should
Supplant Hypothesis Testing . . . . . . 296--304
Charles F. Manski and
Aleksey Tetenov Trial Size for Near-Optimal Choice
Between Surveillance and Aggressive
Treatment: Reconsidering MSLT-II . . . . 305--311
Michael Lavine Frequentist, Bayes, or Other? . . . . . 312--318
Stephen J. Ruberg and
Frank E. Harrell Jr. and
Margaret Gamalo-Siebers and
Lisa LaVange and
J. Jack Lee and
Karen Price and
Carl Peck Inference and Decision Making for
21st-Century Drug Development and
Approval . . . . . . . . . . . . . . . . 319--327
Noah N. N. van Dongen and
Johnny B. van Doorn and
Quentin F. Gronau and
Don van Ravenzwaaij and
Rink Hoekstra and
Matthias N. Haucke and
Daniel Lakens and
Christian Hennig and
Richard D. Morey and
Saskia Homer and
Andrew Gelman and
Jan Sprenger and
Eric-Jan Wagenmakers Multiple Perspectives on Inference for
Two Simple Statistical Scenarios . . . . 328--339
David Trafimow Five Nonobvious Changes in Editorial
Practice for Editors and Reviewers to
Consider When Evaluating Submissions in
a Post $ p < 0.05 $ Universe . . . . . . 340--345
Joseph J. Locascio The Impact of Results Blind Science
Publishing on Statistical Consultation
and Collaboration . . . . . . . . . . . 346--351
Stuart H. Hurlbert and
Richard A. Levine and
Jessica Utts Coup de Grâce for a Tough Old Bull:
``Statistically Significant'' Expires 352--357
Harlan Campbell and
Paul Gustafson The World of Research Has Gone Berserk:
Modeling the Consequences of Requiring
``Greater Statistical Stringency'' for
Scientific Publication . . . . . . . . . 358--373
Ronald D. Fricker Jr. and
Katherine Burke and
Xiaoyan Han and
William H. Woodall Assessing the Statistical Analyses Used
in \em Basic and Applied Social
Psychology After Their $p$-Value Ban . . 374--384
Karsten Maurer and
Lynette Hudiburgh and
Lisa Werwinski and
John Bailer Content Audit for $p$-value Principles
in Introductory Statistics . . . . . . . 385--391
E. Ashley Steel and
Martin Liermann and
Peter Guttorp Beyond Calculations: A Course in
Statistical Thinking . . . . . . . . . . 392--401
Todd A. Kuffner and
Stephen G. Walker Why are $p$-Values Controversial? . . . 1--3
Gyuhyeong Goh and
Dipak K. Dey Asymptotic Properties of Marginal
Least-Square Estimator for
Ultrahigh-Dimensional Linear Regression
Models with Correlated Errors . . . . . 4--9
Stephen Portnoy Invariance, Optimality, and a
$1$-Observation Confidence Interval for
a Normal Mean . . . . . . . . . . . . . 10--15
M. C. Jones and
Éric Marchand and
William E. Strawderman On An Intriguing Distributional Identity 16--21
Mithat Gönen and
Wesley O. Johnson and
Yonggang Lu and
Peter H. Westfall Comparing Objective and Subjective Bayes
Factors for the Two-Sample Comparison:
The Classification Theorem in Action . . 22--31
Diana C. Mutz and
Robin Pemantle and
Philip Pham The Perils of Balance Testing in
Experimental Design: Messy Analyses of
Clean Data . . . . . . . . . . . . . . . 32--42
Youyi Fong and
Ying Huang Modified Wilcoxon--Mann--Whitney Test
and Power Against Strong Null . . . . . 43--49
Xiaofei Wang and
Nicholas G. Reich and
Nicholas J. Horton Enriching Students' Conceptual
Understanding of Confidence Intervals:
An Interactive Trivia-Based Classroom
Activity . . . . . . . . . . . . . . . . 50--55
Joel E. Cohen Sum of a Random Number of Correlated
Random Variables that Depend on the
Number of Summands . . . . . . . . . . . 56--60
Mario A. Davidson and
Charlene M. Dewey and
Amy E. Fleming Teaching Communication in a Statistical
Collaboration Course: A Feasible,
Project-Based, Multimodal Curriculum . . 61--69
Dongmeng Liu and
Jinko Graham Simple Measures of Individual
Cluster-Membership Certainty for Hard
Partitional Clustering . . . . . . . . . 70--79
Jianjun Wang and
Dallas E. Johnson An Examination of Discrepancies in
Multiple Imputation Procedures Between
SAS\TM and SPSS\TM . . . . . . . . . . . 80--88
Spyros Missiakoulis Phlegon's Stem-and-Leaf Display . . . . 89--93
Anonymous Index . . . . . . . . . . . . . . . . . 94--104
M. C. Jones Letter to the Editor . . . . . . . . . . 105--105
Anonymous Editorial Collaborators . . . . . . . . 106--108
Eric W. Gibson Leadership in Statistics: Increasing Our
Value and Visibility . . . . . . . . . . 109--116
Yaakov Malinovsky and
Paul S. Albert Revisiting Nested Group Testing
Procedures: New Results, Comparisons,
and Robustness . . . . . . . . . . . . . 117--125
Richard Le Blanc Bayesian Analysis on a Noncentral
Fisher--Student's Hypersphere . . . . . 126--140
Luke Keele and
Luke Miratrix Randomization Inference for Outcomes
with Clumping at Zero . . . . . . . . . 141--150
Frank Tuyl A Method to Handle Zero Counts in the
Multinomial Model . . . . . . . . . . . 151--158
Xiaoyue Niu and
James L. Rosenberger Near-Balanced Incomplete Block Designs,
With an Application to Poster
Competitions . . . . . . . . . . . . . . 159--164
Tommy Wright and
Martin Klein and
Jerzy Wieczorek A Primer on Visualizations for Comparing
Populations, Including the Issue of
Overlapping Confidence Intervals . . . . 165--178
Charles South and
Ryan Elmore and
Andrew Clarage and
Rob Sickorez and
Jing Cao A Starting Point for Navigating the
World of Daily Fantasy Basketball . . . 179--185
Jeffrey N. Rouder and
Richard D. Morey Teaching Bayes' Theorem: Strength of
Evidence as Predictive Accuracy . . . . 186--190
Subhabrata Chakraborti and
Felipe Jardim and
Eugenio Epprecht Higher-Order Moments Using the Survival
Function: The Alternative Expectation
Formula . . . . . . . . . . . . . . . . 191--194
Francisco Louzada and
Pedro L. Ramos and
Eduardo Ramos A Note on Bias of Closed-Form Estimators
for the Gamma Distribution Derived From
Likelihood Equations . . . . . . . . . . 195--199
Flavio Santi and
Maria Michela Dickson and
Giuseppe Espa A Graphical Tool for Interpreting
Regression Coefficients of Trinomial
Logit Models . . . . . . . . . . . . . . 200--207
Anna Schenfisch and
Brittany Fasy Book Review: \booktitleStatistical
Analysis of Contingency Tables . . . . . 208--208
Xin Wang Book Review: \booktitleBusiness Survival
Analysis Using SAS: An Introduction to
Lifetime Probabilities . . . . . . . . . 208--209
Nicole Bohme Carnegie Book Review: \booktitleQuantitative
Methods for HIV/AIDS Research . . . . . 209--210
Emily Dressler Book Review: \booktitleClinical Trial
Optimization Using R . . . . . . . . . . 210--211
Minggen Lu Book Review: \booktitleSurvival Analysis
with Interval-Censored Data: A Practical
Approach with Examples in R, SAS, and
BUGS . . . . . . . . . . . . . . . . . . 211--212
Feifei Wang and
Jian Wang and
Alan E. Gelfand and
Fan Li Disease Mapping With Generative Models 213--223
Peter K. Dunn and
Margaret Marshman and
Robert McDougall Evaluating Wikipedia as a Self-Learning
Resource for Statistics: You Know
They'll Use It . . . . . . . . . . . . . 224--231
Thomas J. Fisher and
Michael W. Robbins A Cheap Trick to Improve the Power of a
Conservative Hypothesis Test . . . . . . 232--242
Geoffrey K. Robinson What Properties Might Statistical
Inferences Reasonably be Expected to
Have? --- Crisis and Resolution in
Statistical Inference . . . . . . . . . 243--252
Jeff Allen Who Wants to be a Statistician? An
Analysis of ACT-Tested Public School
Students . . . . . . . . . . . . . . . . 253--263
Jacob Goldin and
Daniel Reck The Analysis of Survey Data with Framing
Effects . . . . . . . . . . . . . . . . 264--272
Hakan Demirtas Inducing Any Feasible Level of
Correlation to Bivariate Data With Any
Marginals . . . . . . . . . . . . . . . 273--277
J. G. Liao and
Arthur Berg Sharpening Jensen's Inequality . . . . . 278--281
Ryoungsun Park Practical Teaching Strategies for
Hypothesis Testing . . . . . . . . . . . 282--287
Peter S. Fader and
Bruce G. S. Hardie and
Daniel McCarthy and
Ramnath Vaidyanathan Exploring the Equivalence of Two Common
Mixture Models for Duration Data . . . . 288--295
Hongmei Zhang and
Yubo Zou and
Will Terry and
Wilfried Karmaus and
Hasan Arshad Joint Clustering With Correlated
Variables . . . . . . . . . . . . . . . 296--306
Andrew Gelman and
Ben Goodrich and
Jonah Gabry and
Aki Vehtari R-squared for Bayesian Regression Models 307--309
Silas Bergen Book Review: \booktitleDisplaying Time
Series, Spatial, and Space-Time Data
with R, 2nd ed. . . . . . . . . . . . . 310--311
Thaddeus Tarpey and
Eva Petkova Letter to the Editor . . . . . . . . . . 312--312
Aniko Szabo Test for Trend With a Multinomial
Outcome . . . . . . . . . . . . . . . . 313--320
Aaron McDaid and
Zoltán Kutalik and
Valentin Rousson A Five-Decision Testing Procedure to
Infer the Value of a Unidimensional
Parameter . . . . . . . . . . . . . . . 321--326
Christopher Harms A Bayes Factor for Replications of ANOVA
Results . . . . . . . . . . . . . . . . 327--339
Arnab Kumar Maity and
Vivek Pradhan and
Ujjwal Das Bias Reduction in Logistic Regression
with Missing Responses When the Missing
Data Mechanism is Nonignorable . . . . . 340--349
Yueh-Yun Chi and
Deborah H. Glueck and
Keith E. Muller Power and Sample Size for Fixed-Effects
Inference in Reversible Linear Mixed
Models . . . . . . . . . . . . . . . . . 350--359
Alice Richardson A Comparative Review of Nonparametric
Statistics Textbooks . . . . . . . . . . 360--366
Ambrose Lo Demystifying the Integrated Tail
Probability Expectation Formula . . . . 367--374
Amelia McNamara Key Attributes of a Modern Statistical
Computing Tool . . . . . . . . . . . . . 375--384
Philip A. White and
Candace Berrett and
E. Shannon Neeley-Tass and
Michael G. Findley Modeling Efficiency of Foreign Aid
Allocation in Malawi . . . . . . . . . . 385--399
Ronald D. Snee We Stand on the Shoulders of Giants ---
Pioneers of Statistics in Industry . . . 400--407
Alexandre Galvão Patriota On the Mean Value Theorem for Estimating
Functions . . . . . . . . . . . . . . . 408--410
Jesse Frey Comment on VanDerwerken (2019) . . . . . 411--412
Peter Bacchetti The Other Arbitrary Cutoff . . . . . . . 413--414
Anelise G. Sabbag Book Review: \booktitleHandbook of
Educational Measurement and
Psychometrics Using R, by Christopher D.
Desjardins and Okan Bulut. Boca Raton,
FL: Chapman & Hall/CRC Press, 2018,
xxiii + 302 pp., \$79.95 (H), ISBN:
978-1-49-877013-2} . . . . . . . . . . . 415--416
Megan D. Higgs Book Review: \booktitleRandomistas: How
Radical Researchers Are Changing Our
World . . . . . . . . . . . . . . . . . 416--417
Christian Litterer Book Review: \booktitleStochastic
Processes: From Applications to Theory 418--419
Anonymous Correction . . . . . . . . . . . . . . . 420--420
Anonymous Editorial Collaborators . . . . . . . . 420--421
Arno Berger and
Theodore P. Hill Benford's law strikes back: no simple
explanation in sight for mathematical
gem . . . . . . . . . . . . . . . . . . 85--91
Jean-Louis Foulley Benjamin, D. J., and Berger, J. O.
(2019), ``Three Recommendations for
Improving the Use of $p$-Values'', \em
The American Statistician\, 73,
186--191: Comment by Foulley . . . . . . 101--102
Ronald Christensen Comment on ``Test for Trend With a
Multinomial Outcome'' by Szabo (2019) 313--314