# The American Statistician
2012 - 2024
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 78, issue 2, 2024**
- Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology pp. 135-149
*Nicholas Larsen*, *Jonathan Stallrich*, *Srijan Sengupta*, *Alex Deng*, *Ron Kohavi* and *Nathaniel T. Stevens*
- Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes pp. 150-160
*Chixiang Chen*, *Shuo Chen*, *Qi Long*, *Sudeshna Das* and *Ming Wang*
- Counting the Unseen: Estimation of Susceptibility Proportions in Zero-Inflated Models Using a Conditional Likelihood Approach pp. 161-170
*Wen-Han Hwang*, *Lu-Fang Chen* and *Jakub Stoklosa*
- Bivariate Analysis of Distribution Functions Under Biased Sampling pp. 171-179
*Hsin-wen Chang* and *Shu-Hsiang Wang*
- Differentially Private Methods for Releasing Results of Stability Analyses pp. 180-191
*Chengxin Yang* and *Jerome P. Reiter*
- Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors pp. 192-198
*Lin Ge*, *Yuzi Zhang*, *Lance A. Waller* and *Robert H. Lyles*
- Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data pp. 199-208
*Quang Nguyen*, *Ronald Yurko* and *Gregory J. Matthews*
- Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data pp. 209-219
*Sachin S. Pandya*, *Xiaomeng Li*, *Eric Barón* and *Timothy E. Moore*
- Technical Validation of Plot Designs by Use of Deep Learning pp. 220-228
*Anne Helby Petersen* and *Claus Ekstrøm*
- The Phistogram pp. 229-239
*Adriana Verónica Blanc*
- Missing Data Imputation with High-Dimensional Data pp. 240-252
*Alberto Brini* and *Edwin R. van den Heuvel*
- The Application of the Likelihood Ratio Test and the Cochran-Mantel-Haenszel Test to Discrimination Cases pp. 253-263
*Weiwen Miao* and *Joseph L. Gastwirth*
- Deep Learning and Scientific Computing with R torch pp. 264-264
*Yang Ni*
- An Introduction to R and Python for Data Analysis: A Side-by-Side Approach pp. 265-265
*Gabriel Wallin*
**Volume 78, issue 1, 2024**
- The American Statistician 2023 Associate Editors pp. i-i
*The Editors*
- Likelihood-Free Parameter Estimation with Neural Bayes Estimators pp. 1-14
*Matthew Sainsbury-Dale*, *Andrew Zammit-Mangion* and *Raphaël Huser*
- Out-of-Sample R2: Estimation and Inference pp. 15-25
*Stijn Hawinkel*, *Willem Waegeman* and *Steven Maere*
- Inverse Probability Weighting Estimation in Completely Randomized Experiments pp. 26-35
*Biao Zhang*
- A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications pp. 36-46
*Albert Vexler* and *Alan D. Hutson*
- Evidential Calibration of Confidence Intervals pp. 47-57
*Samuel Pawel*, *Alexander Ly* and *Eric-Jan Wagenmakers*
- Confidence Distributions for the Autoregressive Parameter pp. 58-65
*Rolf Larsson*
- Play Call Strategies and Modeling for Target Outcomes in Football pp. 66-75
*Preston Biro* and *Stephen G. Walker*
- Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and Summarizing Operating Characteristics pp. 76-87
*Larry Han*, *Andrea Arfè* and *Lorenzo Trippa*
- Semi-Structured Distributional Regression pp. 88-99
*David Rügamer*, *Chris Kolb* and *Nadja Klein*
- Hidden Markov Models for Low-Frequency Earthquake Recurrence pp. 100-110
*Jessica Allen* and *Ting Wang*
- First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond pp. 111-114
*Joel E. Cohen*
- Learning to Forecast: The Probabilistic Time Series Forecasting Challenge pp. 115-127
*Johannes Bracher*, *Nils Koster*, *Fabian Krüger* and *Sebastian Lerch*
- Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations pp. 128-129
*Maria Francesca Marino*
- Introduction to Stochastic Finance with Market Examples, 2nd ed pp. 129-130
*Skevi Michael*
- Comment on “Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression,” by Rohlfs (2023) pp. 131-133
*Ronald Christensen*
**Volume 77, issue 4, 2023**
- Distribution-Free Location-Scale Regression pp. 345-356
*Sandra Siegfried*, *Lucas Kook* and *Torsten Hothorn*
- Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring pp. 357-369
*Marcos Matabuena*, *Paulo Félix*, *Marc Ditzhaus*, *Juan Vidal* and *Francisco Gude*
- Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org pp. 370-380
*Olivier Binette*, *Sokhna A York*, *Emma Hickerson*, *Youngsoo Baek*, *Sarvo Madhavan* and *Christina Jones*
- MOVER-R and Penalized MOVER-R Confidence Intervals for the Ratio of Two Quantities pp. 381-389
*Peng Wang*, *Yilei Ma*, *Siqi Xu*, *Yi-Xin Wang*, *Yu Zhang*, *Xiangyang Lou*, *Ming Li*, *Baolin Wu*, *Guimin Gao*, *Ping Yin* and *Nianjun Liu*
- Hierarchical Spatio-Temporal Change-Point Detection pp. 390-400
*Mehdi Moradi*, *Ottmar Cronie*, *Unai Pérez-Goya* and *Jorge Mateu*
- Revisiting the Name Variant of the Two-Children Problem pp. 401-405
*Davy Paindaveine* and *Philippe Spindel*
- RafterNet: Probabilistic Predictions in Multi-Response Regression pp. 406-416
*Marius Hofert*, *Avinash Prasad* and *Mu Zhu*
- Mapping Life Expectancy Loss in Barcelona in 2020 pp. 417-424
*Xavier Puig* and *Josep Ginebra*
- Global Simulation Envelopes for Diagnostic Plots in Regression Models pp. 425-431
*David I. Warton*
- Improved Approximation and Visualization of the Correlation Matrix pp. 432-442
*Jan Graffelman* and *Jan de Leeuw*
- The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example pp. 443-448
*Per Gösta Andersson*
- ANOVA and Mixed Models: A Short Introduction Using R pp. 449-450
*Brady T. West*
- Bayesian Modeling and Computation in Python pp. 450-451
*P. Richard Hahn*
- A First Course in Linear Model Theory, 2nd ed pp. 451-451
*Carlos Cinelli*
**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*
- Graph Sampling pp. 234-234
*Jae-Kwang Kim*
- Handbook of Multiple Comparisons pp. 234-236
*Junyong Park*
- 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*
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