American Statistician

Papers
(The TQCC of American Statistician is 3. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Lessons from a Discussion-Based Course on the History of Statistics43
A Note on Monte Carlo Integration in High Dimensions36
LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction25
Optimal and Fast Confidence Intervals for Hypergeometric Successes21
Explainable Rank-Based Anomaly Detection15
Technical Validation of Plot Designs by Use of Deep Learning14
An Example to Illustrate Randomized Trial Estimands and Estimators13
Introduction to Regression Methods for Public Health Using R12
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships12
Seeing Different Stories: Human Variability in Statistical Assumption Checking and Model Selection12
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings12
Invariant Measures of Disagreement with Stochastic Dominance11
Beyond the Yard Line: Accommodating Rounded Sports Data in Statistical Models10
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model10
Hitting a Prime in 2.43 Dice Rolls (On Average)9
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data9
The Cauchy Combination Test under Arbitrary Dependence Structures9
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making9
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics9
A Class of Regression Association Measures based on Concordance8
Estimation of Contact Time Among Animals from Telemetry Data8
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models7
Abraham Wald and the Origins of the Sequential Probability Ratio Test7
A Comparison of DeepSeek and other LLMs7
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes7
Evidential Calibration of Confidence Intervals7
Out-of-Sample R 2 : Estimation and Inference7
Feature Selection in Cox Model with Partially Observed Covariates: Application to Oncology Trials7
Semi-Structured Distributional Regression7
Towards Community-Based Participatory Statistics Research Using Secondary Data6
Nonparametric Block Bootstrap Kolmogorov-Smirnov Goodness-of-Fit Test6
Near-Peer Mentoring in Data Science: A Plot for Mutual Growth6
Confidence Distributions for the Autoregressive Parameter6
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond6
On a Possible Improvement of the D’Agostino Test of Normality6
A First Course in Causal Inference6
Spatial Sampling with R5
Foundations of Data Science with Python5
Data Science in Practice5
The Best Time to Play the Lottery5
Linear Model Estimation and Prediction for p > n5
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)4
Modern Data Visualization with R4
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot4
On Arbitrarily Underdispersed Discrete Distributions4
RafterNet: Probabilistic Predictions in Multi-Response Regression4
The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations4
Assessment and Continuous Improvement of an Undergraduate Data Science Program4
A Response to Rice and Lumley3
Scaffolding Responsible Software Use: Evaluating the Effectiveness of a Causal Inference Tool3
A Case for Nonparametrics3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation3
Object Oriented Data Analysis3
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples3
Revisiting the Name Variant of the Two-Children Problem3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities3
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: 978-0-367-70420-9.3
Differentially Private Methods for Releasing Results of Stability Analyses3
Toward Explainable Data and Sports Analytics: A Case Study on Pass Completion Prediction in American Football3
Explainable Linear and Generalized Linear Models by the Predictions Plot3
The Loser’s Curse and the Critical Role of the Utility Function3
Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors3
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning3
Improved Approximation and Visualization of the Correlation Matrix3
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
A Statistical Approach to Latent Dynamic Modeling with Differential Equations3
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