American Statistician

Papers
(The TQCC of American Statistician is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
Lessons from a Discussion-Based Course on the History of Statistics76
A Note on Monte Carlo Integration in High Dimensions48
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings33
Optimal and Fast Confidence Intervals for Hypergeometric Successes23
Pseudo-Ranks: The Better Way of Ranking?21
An Example to Illustrate Randomized Trial Estimands and Estimators20
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors14
Technical Validation of Plot Designs by Use of Deep Learning14
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics12
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model11
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making11
A Survey of Bias in Machine Learning Through the Prism of Statistical Parity11
The Cauchy Combination Test under Arbitrary Dependence Structures10
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data10
Demystifying Statistical Learning Based on Efficient Influence Functions9
Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ8
Applied Directional Statistics: Modern Methods and Case Studies8
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes7
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models7
Hitting a Prime in 2.43 Dice Rolls (On Average)7
Out-of-Sample R 2 : Estimation and Inference6
Estimation of Contact Time Among Animals from Telemetry Data6
A Class of Regression Association Measures based on Concordance6
Confidence Distributions for the Autoregressive Parameter5
Evidential Calibration of Confidence Intervals5
Alpha Seminar: A Course for New Graduate Students in Statistics5
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction5
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests5
Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R5
A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States5
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond5
Semi-Structured Distributional Regression5
The Best Time to Play the Lottery4
Data Science in Practice.4
On Arbitrarily Underdispersed Discrete Distributions4
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)4
Foundations of Data Science with Python4
Spatial Sampling with R4
Modern Data Visualization with R4
Assessment and Continuous Improvement of an Undergraduate Data Science Program3
A Response to Rice and Lumley3
Revisiting the Name Variant of the Two-Children Problem3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples3
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot3
Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction3
Statistics for Making Decisions,3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities3
RafterNet: Probabilistic Predictions in Multi-Response Regression3
A Study on the Power Parameter in Power Prior Bayesian Analysis3
A Case for Nonparametrics3
Deep Learning and Scientific Computing with R torch Deep Learning and Scientific Computing with R torch . Sigrid Keydana. Boca Raton, FL: Chapman & Hall/CRC Press, 23
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation2
Improved Approximation and Visualization of the Correlation Matrix2
Object Oriented Data Analysis2
ANOVA and Mixed Models: A Short Introduction Using RLukas Meier, Boca Raton, FL: Chapman & Hall/CRC Press, 2023, xiv + 187 pp., $66.95(P), ISBN: 978-0-367-70420-9.2
A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications2
Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond.2
Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression2
Hierarchical Spatio-Temporal Change-Point Detection2
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design2
Textual Data Science with R2
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,2
Differentially Private Methods for Releasing Results of Stability Analyses2
Counternull Sets in Randomized Experiments2
The R2D2 Prior for Generalized Linear Mixed Models2
Coherent Tests for Interval Null Hypotheses2
Nonparametric Statistical Methods Using R, 2nd ed.2
Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization2
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning2
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities2
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)2
Introduction to Stochastic Finance with Market Examples, 2nd ed Introduction to Stochastic Finance with Market Examples, 2nd ed . Nicolas Privault, Boca Raton, FL: Chapm2
Linearity of Unbiased Linear Model Estimators2
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach2
Probability and Statistical Inference: From Basic Principles to Advanced Models2
Distribution-Free Location-Scale Regression2
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