# The American Statistician
2012 - 2023
Continuation of The American Statistician. Current editor(s): *Eric Sampson* From Taylor & Francis Journals Bibliographic data for series maintained by Chris Longhurst (). Access Statistics for this journal.
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**Volume 77, issue 3, 2023**
- Statistical Guidance to Authors at Top-Ranked Journals across Scientific Disciplines pp. 239-247
*Tom E. Hardwicke*, *Maia Salholz-Hillel*, *Mario Malički*, *Dénes Szűcs*, *Theiss Bendixen* and *John P. A. Ioannidis*
- Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin pp. 248-258
*Harlan Campbell* and *Paul Gustafson*
- Mixture of Networks for Clustering Categorical Data: A Penalized Composite Likelihood Approach pp. 259-273
*Jangsun Baek* and *Jeong-Soo Park*
- Quantifying the Inspection Paradox with Random Time pp. 274-282
*Diana Rauwolf* and *Udo Kamps*
- Selection Criterion of Working Correlation Structure for Spatially Correlated Data pp. 283-291
*Marcelo dos Santos*, *Fernanda De Bastiani*, *Miguel A. Uribe-Opazo* and *Manuel Galea*
- Bayesian Log-Rank Test pp. 292-300
*Jiaqi Gu*, *Yan Zhang* and *Guosheng Yin*
- Hitting a Prime in 2.43 Dice Rolls (On Average) pp. 301-303
*Noga Alon* and *Yaakov Malinovsky*
- A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction pp. 304-312
*Xun Li*, *Joyee Ghosh* and *Gabriele Villarini*
- A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics pp. 313-322
*Daniel Vedensky*, *Paul A. Parker* and *Scott H. Holan*
- Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE) pp. 323-330
*Rameela Raman*, *Jessica Utts*, *Andrew I. Cohen* and *Matthew J. Hayat*
- Consultancy Style Dissertations in Statistics and Data Science: Why and How pp. 331-339
*Serveh Sharifi Far*, *Vanda Inácio*, *Daniel Paulin*, *Miguel de Carvalho*, *Nicole H. Augustin*, *Mike Allerhand* and *Gail Robertson*
- Event History Analysis with R, 2nd ed pp. 340-341
*Ding-Geng Chen*
- Bartroff, J., Lorden, G. and Wang, L. (2022), “Optimal and Fast Confidence Intervals for Hypergeometric Successes,” The American Statistician: Comment by Schilling pp. 342-342
*Mark F. Schilling*
- Response to Comment by Schilling pp. 343-344
*Jay Bartroff*, *Gary Lorden* and *Lijia Wang*
**Volume 77, issue 2, 2023**
- The State of Play of Reproducibility in Statistics: An Empirical Analysis pp. 115-126
*Xin Xiong* and *Ivor Cribben*
- How Do We Perform a Paired t-Test When We Don’t Know How to Pair? pp. 127-133
*Michael Grabchak*
- The Cauchy Combination Test under Arbitrary Dependence Structures pp. 134-142
*Mingya Long*, *Zhengbang Li*, *Wei Zhang* and *Qizhai Li*
- Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes pp. 143-150
*Gang Han*, *Thomas J. Santner*, *Haiqun Lin* and *Ao Yuan*
- Optimal and Fast Confidence Intervals for Hypergeometric Successes pp. 151-159
*Jay Bartroff*, *Gary Lorden* and *Lijia Wang*
- Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression pp. 160-168
*Chris Rohlfs*
- Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models pp. 169-181
*Marcos Matabuena*, *Marta Karas*, *Sherveen Riazati*, *Nick Caplan* and *Philip R. Hayes*
- Athlete Recruitment and the Myth of the Sophomore Peak pp. 182-191
*Monnie McGee*, *Benjamin Williams* and *Jacy Sparks*
- Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings pp. 192-200
*Shijie Guo* and *Jingchen Hu*
- Interactive Exploration of Large Dendrograms with Prototypes pp. 201-211
*Andee Kaplan* and *Jacob Bien*
- A Case for Nonparametrics pp. 212-219
*Roy Bower*, *Justin Hager*, *Chris Cherniakov*, *Samay Gupta* and *William Cipolli*
- Comment on “A Case for Nonparametrics” by Bower et al pp. 220-220
*Kenneth Rice* and *Thomas Lumley*
- A Response to Rice and Lumley pp. 221-222
*Roy Bower* and *William Cipolli*
- A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning pp. 223-233
*Mauricio Tec*, *Yunshan Duan* and *Peter Müller*
- Handbook of Multiple Comparisons pp. 234-236
*Junyong Park*
- Graph Sampling pp. 234-234
*Jae-Kwang Kim*
- Correction: Linearity of Unbiased Linear Model Estimators pp. 237-237
*The Editors*
**Volume 77, issue 1, 2023**
- Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors pp. 1-11
*Joris Mulder*
- A Study on the Power Parameter in Power Prior Bayesian Analysis pp. 12-19
*Zifei Han*, *Keying Ye* and *Min Wang*
- Coherent Tests for Interval Null Hypotheses pp. 20-28
*Spencer Hansen* and *Ken Rice*
- On Arbitrarily Underdispersed Discrete Distributions pp. 29-34
*Alan Huang*
- The Sign Test, Paired Data, and Asymmetric Dependence: A Cautionary Tale pp. 35-40
*Alan D. Hutson* and *Han Yu*
- Using the Lambert Function to Estimate Shared Frailty Models with a Normally Distributed Random Intercept pp. 41-50
*Hadrien Charvat*
- Analytical Problem Solving Based on Causal, Correlational and Deductive Models pp. 51-61
*Jeroen de Mast*, *Stefan H. Steiner*, *Wim P. M. Nuijten* and *Daniel Kapitan*
- A Statistical Basis for Reporting Strength of Evidence as Pool Reduction pp. 62-71
*Dan J. Spitzner*
- Assignment-Control Plots: A Visual Companion for Causal Inference Study Design pp. 72-84
*Rachael C. Aikens* and *Michael Baiocchi*
- Black Box Variational Bayesian Model Averaging pp. 85-96
*Vojtech Kejzlar*, *Shrijita Bhattacharya*, *Mookyong Son* and *Tapabrata Maiti*
- “Two Truths and a Lie” as a Class-Participation Activity pp. 97-101
*Andrew Gelman*
- The Probability Mass Function of the Kaplan–Meier Product–Limit Estimator pp. 102-110
*Yuxin Qin*, *Heather Sasinowska* and *Lawrence Leemis*
- Quantitative Drug Safety and Benefit-Risk Evaluation: Practical and Cross-Disciplinary Approaches pp. 111-112
*Huan Wang*
- Object Oriented Data Analysis pp. 111-111
*James O. Ramsay*
- Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022) pp. 113-113
*Stan Lipovetsky*
**Volume 76, issue 4, 2022**
- On Optimal Correlation-Based Prediction pp. 313-321
*Matteo Bottai*, *Taeho Kim*, *Benjamin Lieberman*, *George Luta* and *Edsel Peña*
- Comment on “On Optimal Correlation-Based Prediction,” by Bottai et al. (2022) pp. 322-322
*Ronald Christensen*
- Multiple Imputation Inference with Integer-Valued Point Estimates pp. 323-328
*Bo Liu* and *Jerome P. Reiter*
- A Review of Adversarial Attack and Defense for Classification Methods pp. 329-345
*Yao Li*, *Minhao Cheng*, *Cho-Jui Hsieh* and *Thomas C. M. Lee*
- A New Transformation of Treated-Control Matched-Pair Differences for Graphical Display pp. 346-352
*Paul R. Rosenbaum*
- Bias Analysis for Misclassification Errors in both the Response Variable and Covariate pp. 353-362
*Juxin Liu*, *Annshirley Afful*, *Holly Mansell* and *Yanyuan Ma*
- The “Poisson” Distribution: History, Reenactments, Adaptations pp. 363-371
*James A. Hanley* and *Sahir Bhatnagar*
- Linearity of Unbiased Linear Model Estimators pp. 372-375
*Stephen Portnoy*
- Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model pp. 376-383
*Bradley Lubich*, *Daniel Jeske* and *Weixin Yao*
- A Practical Approach to Proper Inference with Linked Data pp. 384-393
*Andee Kaplan*, *Brenda Betancourt* and *Rebecca C. Steorts*
- Inference in Experiments Conditional on Observed Imbalances in Covariates pp. 394-404
*Per Johansson* and *Mattias Nordin*
- The Current State of Undergraduate Bayesian Education and Recommendations for the Future pp. 405-413
*Mine Dogucu* and *Jingchen Hu*
- From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression pp. 414-429
*Andrew J. Sage*, *Yang Liu* and *Joe Sato*
- Probability, Statistics, and Data: A Fresh Approach Using R pp. 430-430
*Scott A. Roths*
- Statistical Issues in Drug Development, 3rd ed pp. 431-431
*Jie Cui* and *Haoda Fu*
**Volume 76, issue 3, 2022**
- Bayes Factors Based on p-Values and Sets of Priors With Restricted Strength pp. 203-213
*Brendan Kline*
- Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction pp. 214-223
*Chi-Kuang Yeh*, *Gregory Rice* and *Joel A. Dubin*
- Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests pp. 224-237
*Nathaniel T. Stevens* and *Luke Hagar*
- Spatial Confounding in Generalized Estimating Equations pp. 238-247
*Francis K. C. Hui* and *Howard D. Bondell*
- Expressing Regret: A Unified View of Credible Intervals pp. 248-256
*Kenneth Rice* and *Lingbo Ye*
- A Study on Estimating the Parameter of the Truncated Geometric Distribution pp. 257-261
*Chanseok Park*, *Kun Gou* and *Min Wang*
- Incorporating Minimum Variances into Weighted Optimality Criteria pp. 262-269
*Katherine Allen-Moyer* and *Jonathan Stallrich*
- Using Differentiable Programming for Flexible Statistical Modeling pp. 270-279
*Maren Hackenberg*, *Marlon Grodd*, *Clemens Kreutz*, *Martina Fischer*, *Janina Esins*, *Linus Grabenhenrich*, *Christian Karagiannidis* and *Harald Binder*
- On Generating Distributions with the Memoryless Property pp. 280-285
*Kimihiro Noguchi* and *Koby F. Robles*
- Alpha Seminar: A Course for New Graduate Students in Statistics pp. 286-291
*Christopher R. Bilder*
- Demystifying Statistical Learning Based on Efficient Influence Functions pp. 292-304
*Oliver Hines*, *Oliver Dukes*, *Karla Diaz-Ordaz* and *Stijn Vansteelandt*
- Data Monitoring Committees in Clinical Trials: A Practical Perspective pp. 305-306
*Chris Barker*
- Leadership in Statistics and Data Science: Planning for Inclusive Excellence pp. 306-307
*Emilija Perković*
- Comment on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022) pp. 308-309
*David A. Harville*
- Comment on “On the Power of the F-test for Hypotheses in a Linear Model” by Griffiths and Hill (2022) pp. 310-311
*Ronald Christensen*
- Rejoinder to Harville (2022) and Christensen (2022) Comments on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022) pp. 312-312
*William E. Griffiths* and *Carter Hill*
**Volume 76, issue 2, 2022**
- Variable Selection With Second-Generation P-Values pp. 91-101
*Yi Zuo*, *Thomas G. Stewart* and *Jeffrey D. Blume*
- A Generalization of the Savage–Dickey Density Ratio for Testing Equality and Order Constrained Hypotheses pp. 102-109
*Joris Mulder*, *Eric-Jan Wagenmakers* and *Maarten Marsman*
- Bang the Can Slowly: An Investigation into the 2017 Houston Astros pp. 110-116
*Ryan Elmore* and *Gregory J. Matthews*
- The Case-Control Approach Can be More Powerful for Matched Pair Observational Studies When the Outcome is Rare pp. 117-123
*Wei Wang*, *Dylan S. Small*, *Guy Cafri* and *Elizabeth W. Paxton*
- Pseudo-Ranks: The Better Way of Ranking? pp. 124-130
*Georg Zimmermann*, *Edgar Brunner*, *Werner Brannath*, *Martin Happ* and *Arne C. Bathke*
- Publication Policies for Replicable Research and the Community-Wide False Discovery Rate pp. 131-141
*Joshua Habiger* and *Ye Liang*
- Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities pp. 142-151
*Rachel C. Nethery*, *Jarvis T. Chen*, *Nancy Krieger*, *Pamela D. Waterman*, *Emily Peterson*, *Lance A. Waller* and *Brent A. Coull*
- COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers pp. 152-158
*Shing Lee*, *Emilia Bagiella*, *Roger Vaughan*, *Usha Govindarajulu*, *Paul Christos*, *Denise Esserman*, *Hua Zhong* and *Mimi Kim*
- On Deconfounding Spatial Confounding in Linear Models pp. 159-167
*Dale L. Zimmerman* and *Jay M. Ver Hoef*
- Comparing Three Groups pp. 168-176
*Jelle J. Goeman* and *Aldo Solari*
- Re-exploring the Penney-Ante Game pp. 177-183
*Sushil Kumar Singh*, *Neelkanth Rawat*, *Sargun Singh* and *Savinder Kaur*
- Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization pp. 184-187
*Nitis Mukhopadhyay*
- A Survey of Bias in Machine Learning Through the Prism of Statistical Parity pp. 188-198
*Philippe Besse*, *Eustasio del Barrio*, *Paula Gordaliza*, *Jean-Michel Loubes* and *Laurent Risser*
- Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond pp. 199-199
*Qiwei Li*
- Statistics in Medicine pp. 199-200
*Weixiao Dai* and *Toshimitsu Hamasaki*
- The Impact of Application of the Jackknife to the Sample Median pp. 201-201
*The Editors*
**Volume 76, issue 1, 2022**
- A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates pp. 1-9
*Erik van Zwet* and *Andrew Gelman*
- Computing (Bivariate) Poisson Moments Using Stein–Chen Identities pp. 10-15
*Christian H. Weiß* and *Boris Aleksandrov*
- Calculating Sample Size for Follmann’s Simple Multivariate Test for One-Sided Alternatives pp. 16-21
*Matthew J. McIntosh*
- Bayesian Inference Is Unaffected by Selection: Fact or Fiction? pp. 22-28
*David A. Harville*
- Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data pp. 29-36
*Yulia Sidi* and *Ofer Harel*
- Reconstructing the Kaplan–Meier Estimator as an M-estimator pp. 37-43
*Jiaqi Gu*, *Yiwei Fan* and *Guosheng Yin*
- Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ pp. 44-52
*Edwin van den Heuvel* and *Zhuozhao Zhan*
- When Your Permutation Test is Doomed to Fail pp. 53-63
*William F. Christensen* and *Brinley N. Zabriskie*
- A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States pp. 64-72
*Giulia Carella*, *Javier Pérez Trufero*, *Miguel Álvarez* and *Jorge Mateu*
- A Geometric Derivation of the Cantor Distribution pp. 73-77
*Brett Presnell*
- On the Power of the F-test for Hypotheses in a Linear Model pp. 78-84
*William E. Griffiths* and *Carter Hill*
- Exploratory Data Analysis with MATLAB, 3rd ed., by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka pp. 85-86
*Yang Ni*
- Do Dice Play God? The Mathematics of Uncertainty, by Ian Stewart pp. 85-85
*James M. Flegal*
- The Phantom Pattern Problem: The Mirage of Big Data pp. 86-87
*Emilija Perković*
- Statistics for Making Decisions pp. 87-88
*Angelika M. Stefan*
- A Connection Between Baseball and Clinical Trials Found in “Slugging Percentage is Not a Percentage—And Why That Matters” pp. 89-89
*Byron J. Gajewski*, *Jo A. Wick* and *Truman J. Milling*
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