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Content
April 2025, Volume 79, Issue 2
- 145-155 Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting
by Peiyao Huang & Shuwei Li & Xinyuan Song - 156-166 A Pareto Tail Plot Without Moment Restrictions
by Bernhard Klar - 167-172 Estimation of a Generalized Treatment Effect in a Control Group Versus Treatment Group Design
by Daniel R. Jeske - 173-183 Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection
by Giovanni Nattino & Robert Ashmead & Bo Lu - 184-197 Sparse-Group Boosting: Unbiased Group and Variable Selection
by Fabian Obster & Christian Heumann - 198-211 Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models
by Tingxuan Wu & Cindy Feng & Longhai Li - 212-220 Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach
by Gabriel Calvo & Carmen Armero & Bernd Grimm & Christophe Ley - 221-235 When Heavy Tails Disrupt Statistical Inference
by Richard M. Vogel & Simon Michael Papalexiou & Jonathan R. Lamontagne & Flannery C. Dolan - 236-246 An Effective and Small Sample-Size Valid Confidence Interval for Isotonic Dose–Response Curves by Inverting a Partial Likelihood Ratio Test
by J. G. Liao - 247-264 Performance Analysis of NSUM Estimators in Social-Network Topologies
by Sergio Díaz-Aranda & Jose Aguilar & Juan Marcos Ramírez & David Rabanedo & Antonio Fernández Anta & Rosa E. Lillo - 265-274 Estimation of Contact Time Among Animals from Telemetry Data
by Andrew B. Whetten & Trevor J. Hefley & David A. Haukos - 275-285 Counternull Sets in Randomized Experiments
by M.-A. C. Bind & D. B. Rubin - 286-286 Foundations of Data Science with Python
by Qing Wang - 287-288 Modern Data Visualization with R
by John M. Hoenig - 288-289 Applied Machine Learning Using mlr3 in R
by Xueying Tang
January 2025, Volume 79, Issue 1
- 1-9 Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples
by Paul R. Rosenbaum - 10-22 Using Exact Tests from Algebraic Statistics in Sparse Multi-Way Analyses: An Application to Analyzing Differential Item Functioning
by Shishir Agrawal & Luis David Garcia Puente & Minho Kim & Flavia Sancier-Barbosa - 23-29 A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient
by Niels G. Waller - 30-39 The Best Time to Play the Lottery
by Christopher M. Rump - 40-49 The R2D2 Prior for Generalized Linear Mixed Models
by Eric Yanchenko & Howard D. Bondell & Brian J. Reich - 50-60 Sequential Monitoring Using the Second Generation P-Value with Type I Error Controlled by Monitoring Frequency
by Jonathan J. Chipman & Robert A. Greevy & Lindsay S. Mayberry & Jeffrey D. Blume - 61-71 Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data
by Jia Liang & Shuo Chen & Peter Kochunov & L. Elliot Hong & Chixiang Chen - 72-90 High-Dimensional Propensity Score and Its Machine Learning Extensions in Residual Confounding Control
by Mohammad Ehsanul Karim - 91-101 A Multi-Method Data Science Pipeline for Analyzing Police Service
by Anna Haensch & Daanika Gordon & Karin Knudson & Justina Cheng - 102-121 Assessment and Continuous Improvement of an Undergraduate Data Science Program
by Nicholas Clark & Christopher Morrell & Mike Powell - 122-128 Distance Covariance, Independence, and Pairwise Differences
by Jakob Raymaekers & Peter J. Rousseeuw - 129-139 A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities
by Alan R. Vazquez & Xiaocong Xuan - 140-141 Building Regression Models with SAS®: A Guide for Data Scientists
by Juan Sosa - 141-142 Spatial Sampling with R
by Francesco Pantalone & Roberto Benedetti - 142-143 A Course in the Large Sample Theory of Statistical Inference
by Indranil Sahoo
October 2024, Volume 78, Issue 4
- 379-390 Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation
by Xinkai Zhou & Qiang Heng & Eric C. Chi & Hua Zhou - 391-400 Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments
by Caroline M. Kerfonta & Sunuk Kim & Ye Chen & Qiong Zhang & Mo Jiang - 401-411 Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities
by Yifan Yang & Chixiang Chen & Shuo Chen - 412-417 On Point Estimators for Gamma and Beta Distributions
by Nickos D. Papadatos - 418-425 Fitting Log-Gaussian Cox Processes Using Generalized Additive Model Software
by Elliot Dovers & Jakub Stoklosa & David I. Warton - 426-436 Boldness-Recalibration for Binary Event Predictions
by Adeline P. Guthrie & Christopher T. Franck - 437-449 Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion
by Owen McGrath & Kevin Burke - 450-455 Moments of the Nonnegative Adjusted Estimator of Squared Multiple Correlation
by Joseph F. Lucke - 456-464 Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement
by Minh Nguyen & Tiffany Eulalio & Ben J. Marafino & Christian Rose & Jonathan H. Chen & Michael Baiocchi - 465-470 Tractable Bayesian Inference For An Unidentified Simple Linear Regression Model
by Robert Calvert Jump - 471-480 Analyzing Matched 2 × 2 Tables from all Corners
by Marc Aerts & Geert Molenberghs - 481-487 On Misuses of the Kolmogorov–Smirnov Test for One-Sample Goodness-of-Fit
by Anthony Zeimbekakis & Elizabeth D. Schifano & Jun Yan - 488-490 Telling Stories with Data: With Applications in R
by Piotr Fryzlewicz
July 2024, Volume 78, Issue 3
- 267-272 Causal Quartets: Different Ways to Attain the Same Average Treatment Effect
by Andrew Gelman & Jessica Hullman & Lauren Kennedy - 273-279 Melded Confidence Intervals Do Not Provide Guaranteed Coverage
by Jesse Frey & Yimin Zhang - 280-289 One-Step Weighting to Generalize and Transport Treatment Effect Estimates to a Target Population
by Ambarish Chattopadhyay & Eric R. Cohn & José R. Zubizarreta - 290-296 A Note on Monte Carlo Integration in High Dimensions
by Yanbo Tang - 297-303 Hitting a Prime by Rolling a Die with Infinitely Many Faces
by Shane Chern - 304-317 Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments
by Chancellor Johnstone & Dan Nettleton - 318-326 Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot
by Lauren D. Liao & Yeyi Zhu & Amanda L. Ngo & Rana F. Chehab & Samuel D. Pimentel - 327-334 On the Term “Randomization Test”
by Jesse Hemerik - 335-344 Understanding the Implications of a Complete Case Analysis for Regression Models with a Right-Censored Covariate
by Marissa C. Ashner & Tanya P. Garcia - 345-358 Parole Board Decision-Making using Adversarial Risk Analysis
by Chaitanya Joshi & Charné Nel & Javier Cano & Devon L.L. Polaschek - 359-367 Introducing Variational Inference in Statistics and Data Science Curriculum
by Vojtech Kejzlar & Jingchen Hu - 368-374 Lessons from a Discussion-Based Course on the History of Statistics
by David B. Hitchcock - 375-375 Statistical Theory: A Concise Introduction, 2nd ed
by Juan Sosa - 376-377 Introduction to Statistical Modelling and Inference
by Nianpin Cheng & Beth Chance
April 2024, Volume 78, Issue 2
- 135-149 Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology
by Nicholas Larsen & Jonathan Stallrich & Srijan Sengupta & Alex Deng & Ron Kohavi & Nathaniel T. Stevens - 150-160 Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes
by Chixiang Chen & Shuo Chen & Qi Long & Sudeshna Das & Ming Wang - 161-170 Counting the Unseen: Estimation of Susceptibility Proportions in Zero-Inflated Models Using a Conditional Likelihood Approach
by Wen-Han Hwang & Lu-Fang Chen & Jakub Stoklosa - 171-179 Bivariate Analysis of Distribution Functions Under Biased Sampling
by Hsin-wen Chang & Shu-Hsiang Wang - 180-191 Differentially Private Methods for Releasing Results of Stability Analyses
by Chengxin Yang & Jerome P. Reiter - 192-198 Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors
by Lin Ge & Yuzi Zhang & Lance A. Waller & Robert H. Lyles - 199-208 Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data
by Quang Nguyen & Ronald Yurko & Gregory J. Matthews - 209-219 Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data
by Sachin S. Pandya & Xiaomeng Li & Eric Barón & Timothy E. Moore - 220-228 Technical Validation of Plot Designs by Use of Deep Learning
by Anne Helby Petersen & Claus Ekstrøm - 229-239 The Phistogram
by Adriana Verónica Blanc - 240-252 Missing Data Imputation with High-Dimensional Data
by Alberto Brini & Edwin R. van den Heuvel - 253-263 The Application of the Likelihood Ratio Test and the Cochran-Mantel-Haenszel Test to Discrimination Cases
by Weiwen Miao & Joseph L. Gastwirth - 264-264 Deep Learning and Scientific Computing with R torch
by Yang Ni - 265-265 An Introduction to R and Python for Data Analysis: A Side-by-Side Approach
by Gabriel Wallin
January 2024, Volume 78, Issue 1
- 1-1 The American Statistician 2023 Associate Editors
by The Editors - 1-14 Likelihood-Free Parameter Estimation with Neural Bayes Estimators
by Matthew Sainsbury-Dale & Andrew Zammit-Mangion & Raphaël Huser - 15-25 Out-of-Sample R2: Estimation and Inference
by Stijn Hawinkel & Willem Waegeman & Steven Maere - 26-35 Inverse Probability Weighting Estimation in Completely Randomized Experiments
by Biao Zhang - 36-46 A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications
by Albert Vexler & Alan D. Hutson - 47-57 Evidential Calibration of Confidence Intervals
by Samuel Pawel & Alexander Ly & Eric-Jan Wagenmakers - 58-65 Confidence Distributions for the Autoregressive Parameter
by Rolf Larsson - 66-75 Play Call Strategies and Modeling for Target Outcomes in Football
by Preston Biro & Stephen G. Walker - 76-87 Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and Summarizing Operating Characteristics
by Larry Han & Andrea Arfè & Lorenzo Trippa - 88-99 Semi-Structured Distributional Regression
by David Rügamer & Chris Kolb & Nadja Klein - 100-110 Hidden Markov Models for Low-Frequency Earthquake Recurrence
by Jessica Allen & Ting Wang - 111-114 First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond
by Joel E. Cohen - 115-127 Learning to Forecast: The Probabilistic Time Series Forecasting Challenge
by Johannes Bracher & Nils Koster & Fabian Krüger & Sebastian Lerch - 128-129 Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations
by Maria Francesca Marino - 129-130 Introduction to Stochastic Finance with Market Examples, 2nd ed
by Skevi Michael - 131-133 Comment on “Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression,” by Rohlfs (2023)
by Ronald Christensen
October 2023, Volume 77, Issue 4
- 345-356 Distribution-Free Location-Scale Regression
by Sandra Siegfried & Lucas Kook & Torsten Hothorn - 357-369 Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring
by Marcos Matabuena & Paulo Félix & Marc Ditzhaus & Juan Vidal & Francisco Gude - 370-380 Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org
by Olivier Binette & Sokhna A York & Emma Hickerson & Youngsoo Baek & Sarvo Madhavan & Christina Jones - 381-389 MOVER-R and Penalized MOVER-R Confidence Intervals for the Ratio of Two Quantities
by Peng Wang & Yilei Ma & Siqi Xu & Yi-Xin Wang & Yu Zhang & Xiangyang Lou & Ming Li & Baolin Wu & Guimin Gao & Ping Yin & Nianjun Liu - 390-400 Hierarchical Spatio-Temporal Change-Point Detection
by Mehdi Moradi & Ottmar Cronie & Unai Pérez-Goya & Jorge Mateu - 401-405 Revisiting the Name Variant of the Two-Children Problem
by Davy Paindaveine & Philippe Spindel - 406-416 RafterNet: Probabilistic Predictions in Multi-Response Regression
by Marius Hofert & Avinash Prasad & Mu Zhu - 417-424 Mapping Life Expectancy Loss in Barcelona in 2020
by Xavier Puig & Josep Ginebra - 425-431 Global Simulation Envelopes for Diagnostic Plots in Regression Models
by David I. Warton - 432-442 Improved Approximation and Visualization of the Correlation Matrix
by Jan Graffelman & Jan de Leeuw - 443-448 The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example
by Per Gösta Andersson - 449-450 ANOVA and Mixed Models: A Short Introduction Using R
by Brady T. West - 450-451 Bayesian Modeling and Computation in Python
by P. Richard Hahn - 451-451 A First Course in Linear Model Theory, 2nd ed
by Carlos Cinelli
July 2023, Volume 77, Issue 3
- 239-247 Statistical Guidance to Authors at Top-Ranked Journals across Scientific Disciplines
by Tom E. Hardwicke & Maia Salholz-Hillel & Mario Malički & Dénes Szűcs & Theiss Bendixen & John P. A. Ioannidis - 248-258 Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin
by Harlan Campbell & Paul Gustafson - 259-273 Mixture of Networks for Clustering Categorical Data: A Penalized Composite Likelihood Approach
by Jangsun Baek & Jeong-Soo Park - 274-282 Quantifying the Inspection Paradox with Random Time
by Diana Rauwolf & Udo Kamps - 283-291 Selection Criterion of Working Correlation Structure for Spatially Correlated Data
by Marcelo dos Santos & Fernanda De Bastiani & Miguel A. Uribe-Opazo & Manuel Galea - 292-300 Bayesian Log-Rank Test
by Jiaqi Gu & Yan Zhang & Guosheng Yin - 301-303 Hitting a Prime in 2.43 Dice Rolls (On Average)
by Noga Alon & Yaakov Malinovsky - 304-312 A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction
by Xun Li & Joyee Ghosh & Gabriele Villarini - 313-322 A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics
by Daniel Vedensky & Paul A. Parker & Scott H. Holan - 323-330 Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)
by Rameela Raman & Jessica Utts & Andrew I. Cohen & Matthew J. Hayat - 331-339 Consultancy Style Dissertations in Statistics and Data Science: Why and How
by Serveh Sharifi Far & Vanda Inácio & Daniel Paulin & Miguel de Carvalho & Nicole H. Augustin & Mike Allerhand & Gail Robertson - 340-341 Event History Analysis with R, 2nd ed
by Ding-Geng Chen - 342-342 Bartroff, J., Lorden, G. and Wang, L. (2022), “Optimal and Fast Confidence Intervals for Hypergeometric Successes,” The American Statistician: Comment by Schilling
by Mark F. Schilling - 343-344 Response to Comment by Schilling
by Jay Bartroff & Gary Lorden & Lijia Wang
April 2023, Volume 77, Issue 2
- 115-126 The State of Play of Reproducibility in Statistics: An Empirical Analysis
by Xin Xiong & Ivor Cribben - 127-133 How Do We Perform a Paired t-Test When We Don’t Know How to Pair?
by Michael Grabchak - 134-142 The Cauchy Combination Test under Arbitrary Dependence Structures
by Mingya Long & Zhengbang Li & Wei Zhang & Qizhai Li - 143-150 Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes
by Gang Han & Thomas J. Santner & Haiqun Lin & Ao Yuan - 151-159 Optimal and Fast Confidence Intervals for Hypergeometric Successes
by Jay Bartroff & Gary Lorden & Lijia Wang - 160-168 Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression
by Chris Rohlfs - 169-181 Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models
by Marcos Matabuena & Marta Karas & Sherveen Riazati & Nick Caplan & Philip R. Hayes - 182-191 Athlete Recruitment and the Myth of the Sophomore Peak
by Monnie McGee & Benjamin Williams & Jacy Sparks - 192-200 Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings
by Shijie Guo & Jingchen Hu - 201-211 Interactive Exploration of Large Dendrograms with Prototypes
by Andee Kaplan & Jacob Bien - 212-219 A Case for Nonparametrics
by Roy Bower & Justin Hager & Chris Cherniakov & Samay Gupta & William Cipolli - 220-220 Comment on “A Case for Nonparametrics” by Bower et al
by Kenneth Rice & Thomas Lumley - 221-222 A Response to Rice and Lumley
by Roy Bower & William Cipolli - 223-233 A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning
by Mauricio Tec & Yunshan Duan & Peter Müller - 234-234 Graph Sampling
by Jae-Kwang Kim - 234-236 Handbook of Multiple Comparisons
by Junyong Park - 237-237 Correction: Linearity of Unbiased Linear Model Estimators
by The Editors
January 2023, Volume 77, Issue 1
- 1-11 Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors
by Joris Mulder - 12-19 A Study on the Power Parameter in Power Prior Bayesian Analysis
by Zifei Han & Keying Ye & Min Wang - 20-28 Coherent Tests for Interval Null Hypotheses
by Spencer Hansen & Ken Rice - 29-34 On Arbitrarily Underdispersed Discrete Distributions
by Alan Huang - 35-40 The Sign Test, Paired Data, and Asymmetric Dependence: A Cautionary Tale
by Alan D. Hutson & Han Yu - 41-50 Using the Lambert Function to Estimate Shared Frailty Models with a Normally Distributed Random Intercept
by Hadrien Charvat - 51-61 Analytical Problem Solving Based on Causal, Correlational and Deductive Models
by Jeroen de Mast & Stefan H. Steiner & Wim P. M. Nuijten & Daniel Kapitan - 62-71 A Statistical Basis for Reporting Strength of Evidence as Pool Reduction
by Dan J. Spitzner - 72-84 Assignment-Control Plots: A Visual Companion for Causal Inference Study Design
by Rachael C. Aikens & Michael Baiocchi - 85-96 Black Box Variational Bayesian Model Averaging
by Vojtech Kejzlar & Shrijita Bhattacharya & Mookyong Son & Tapabrata Maiti - 97-101 “Two Truths and a Lie” as a Class-Participation Activity
by Andrew Gelman - 102-110 The Probability Mass Function of the Kaplan–Meier Product–Limit Estimator
by Yuxin Qin & Heather Sasinowska & Lawrence Leemis - 111-111 Object Oriented Data Analysis
by James O. Ramsay - 111-112 Quantitative Drug Safety and Benefit-Risk Evaluation: Practical and Cross-Disciplinary Approaches
by Huan Wang - 113-113 Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)
by Stan Lipovetsky
October 2022, Volume 76, Issue 4
- 313-321 On Optimal Correlation-Based Prediction
by Matteo Bottai & Taeho Kim & Benjamin Lieberman & George Luta & Edsel Peña - 322-322 Comment on “On Optimal Correlation-Based Prediction,” by Bottai et al. (2022)
by Ronald Christensen - 323-328 Multiple Imputation Inference with Integer-Valued Point Estimates
by Bo Liu & Jerome P. Reiter - 329-345 A Review of Adversarial Attack and Defense for Classification Methods
by Yao Li & Minhao Cheng & Cho-Jui Hsieh & Thomas C. M. Lee - 346-352 A New Transformation of Treated-Control Matched-Pair Differences for Graphical Display
by Paul R. Rosenbaum - 353-362 Bias Analysis for Misclassification Errors in both the Response Variable and Covariate
by Juxin Liu & Annshirley Afful & Holly Mansell & Yanyuan Ma - 363-371 The “Poisson” Distribution: History, Reenactments, Adaptations
by James A. Hanley & Sahir Bhatnagar - 372-375 Linearity of Unbiased Linear Model Estimators
by Stephen Portnoy - 376-383 Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model
by Bradley Lubich & Daniel Jeske & Weixin Yao - 384-393 A Practical Approach to Proper Inference with Linked Data
by Andee Kaplan & Brenda Betancourt & Rebecca C. Steorts - 394-404 Inference in Experiments Conditional on Observed Imbalances in Covariates
by Per Johansson & Mattias Nordin - 405-413 The Current State of Undergraduate Bayesian Education and Recommendations for the Future
by Mine Dogucu & Jingchen Hu - 414-429 From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression
by Andrew J. Sage & Yang Liu & Joe Sato - 430-430 Probability, Statistics, and Data: A Fresh Approach Using R
by Scott A. Roths - 431-431 Statistical Issues in Drug Development, 3rd ed
by Jie Cui & Haoda Fu
July 2022, Volume 76, Issue 3
- 203-213 Bayes Factors Based on p-Values and Sets of Priors With Restricted Strength
by Brendan Kline - 214-223 Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction
by Chi-Kuang Yeh & Gregory Rice & Joel A. Dubin - 224-237 Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests
by Nathaniel T. Stevens & Luke Hagar - 238-247 Spatial Confounding in Generalized Estimating Equations
by Francis K. C. Hui & Howard D. Bondell - 248-256 Expressing Regret: A Unified View of Credible Intervals
by Kenneth Rice & Lingbo Ye - 257-261 A Study on Estimating the Parameter of the Truncated Geometric Distribution
by Chanseok Park & Kun Gou & Min Wang - 262-269 Incorporating Minimum Variances into Weighted Optimality Criteria
by Katherine Allen-Moyer & Jonathan Stallrich - 270-279 Using Differentiable Programming for Flexible Statistical Modeling
by Maren Hackenberg & Marlon Grodd & Clemens Kreutz & Martina Fischer & Janina Esins & Linus Grabenhenrich & Christian Karagiannidis & Harald Binder - 280-285 On Generating Distributions with the Memoryless Property
by Kimihiro Noguchi & Koby F. Robles - 286-291 Alpha Seminar: A Course for New Graduate Students in Statistics
by Christopher R. Bilder - 292-304 Demystifying Statistical Learning Based on Efficient Influence Functions
by Oliver Hines & Oliver Dukes & Karla Diaz-Ordaz & Stijn Vansteelandt - 305-306 Data Monitoring Committees in Clinical Trials: A Practical Perspective
by Chris Barker - 306-307 Leadership in Statistics and Data Science: Planning for Inclusive Excellence
by Emilija Perković - 308-309 Comment on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022)
by David A. Harville - 310-311 Comment on “On the Power of the F-test for Hypotheses in a Linear Model” by Griffiths and Hill (2022)
by Ronald Christensen - 312-312 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)
by William E. Griffiths & R. Carter Hill
April 2022, Volume 76, Issue 2
- 91-101 Variable Selection With Second-Generation P-Values
by Yi Zuo & Thomas G. Stewart & Jeffrey D. Blume - 102-109 A Generalization of the Savage–Dickey Density Ratio for Testing Equality and Order Constrained Hypotheses
by Joris Mulder & Eric-Jan Wagenmakers & Maarten Marsman - 110-116 Bang the Can Slowly: An Investigation into the 2017 Houston Astros
by Ryan Elmore & Gregory J. Matthews - 117-123 The Case-Control Approach Can be More Powerful for Matched Pair Observational Studies When the Outcome is Rare
by Wei Wang & Dylan S. Small & Guy Cafri & Elizabeth W. Paxton - 124-130 Pseudo-Ranks: The Better Way of Ranking?
by Georg Zimmermann & Edgar Brunner & Werner Brannath & Martin Happ & Arne C. Bathke - 131-141 Publication Policies for Replicable Research and the Community-Wide False Discovery Rate
by Joshua Habiger & Ye Liang - 142-151 Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities
by Rachel C. Nethery & Jarvis T. Chen & Nancy Krieger & Pamela D. Waterman & Emily Peterson & Lance A. Waller & Brent A. Coull - 152-158 COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers
by Shing Lee & Emilia Bagiella & Roger Vaughan & Usha Govindarajulu & Paul Christos & Denise Esserman & Hua Zhong & Mimi Kim - 159-167 On Deconfounding Spatial Confounding in Linear Models
by Dale L. Zimmerman & Jay M. Ver Hoef - 168-176 Comparing Three Groups
by Jelle J. Goeman & Aldo Solari - 177-183 Re-exploring the Penney-Ante Game
by Sushil Kumar Singh & Neelkanth Rawat & Sargun Singh & Savinder Kaur - 184-187 Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization
by Nitis Mukhopadhyay - 188-198 A Survey of Bias in Machine Learning Through the Prism of Statistical Parity
by Philippe Besse & Eustasio del Barrio & Paula Gordaliza & Jean-Michel Loubes & Laurent Risser - 199-199 Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond
by Qiwei Li - 199-200 Statistics in Medicine
by Weixiao Dai & Toshimitsu Hamasaki - 201-201 The Impact of Application of the Jackknife to the Sample Median
by The Editors
January 2022, Volume 76, Issue 1
- 1-9 A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates
by Erik van Zwet & Andrew Gelman - 10-15 Computing (Bivariate) Poisson Moments Using Stein–Chen Identities
by Christian H. Weiß & Boris Aleksandrov - 16-21 Calculating Sample Size for Follmann’s Simple Multivariate Test for One-Sided Alternatives
by Matthew J. McIntosh - 22-28 Bayesian Inference Is Unaffected by Selection: Fact or Fiction?
by David A. Harville - 29-36 Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data
by Yulia Sidi & Ofer Harel