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Most Read Collection from the American Statistical Association

We are pleased to bring you this year's Most Read collection of articles from the American Statistical Association’s publications.

Each featured paper is free to view until the end of 2020, and this page will be updated regularly so keep checking back for more trending articles.

In conjunction with #JSM2020 we offer free access to 5 articles and a special discount on books to those who join our mailing list. Click HERE to opt in. 

Journal of the American Statistical Association
Article Title Author Volume Issue
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager, Susan Athey Vol. 113 Iss. 523 (2018)
The Blessings of Multiple Causes David M. Blei, Yixin Wang Vol. 114 Iss. 528 (2019)
Smoothing Parameter and Model Selection for General Smooth Models Simon N. Wood, Natalya Pya, Benjamin Säfken Vol. 111 Iss. 516 (2016)
Variational Inference: A Review for Statisticians Alp Kucukelbir, David M. Blei, Jon D. McAuliffe, Jon Mcauliffe Vol.112 Iss. 518 (2017)
Limits to Human Life Span Through Extreme Value Theory Laurens de Haan, John H.J. Einmahl, Jesson J. Einmahl, John H. J. Einmahl Vol.114 Iss. 527 (2019)
A Hierarchical Framework for Correcting Under-Reporting in Count Data Gabriela Drummond Marques da Silva, Oliver Stoner, Theodoros Economou Vol. 114 Iss. 528 (2019)
Value of Information: Sensitivity Analysis and Research Design in Bayesian Evidence Synthesis Daniela De Angelis, Stefano Conti, Anne Presanis, Christopher Jackson Vol.114 Iss. 528 (2019)
Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei Susan Athey, Guido W. Imbens, Michael Pollmann Vol.114 Iss. 528 (2019)
Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses Maya B. Mathur, Tyler J. VanderWeele Vol. 115 Iss. 529 (2020)
Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program Jens Hainmueller, Alexis Diamond, Alberto Abadie Vol.105 Iss. 490 (2010)
The American Statistician
Article Title Author Volume Issue
The ASA's Statement on p-Values: Context, Process, and Purpose Ronald L. Wasserstein, Nicole A. Lazar Vol. 70 Iss. 2 (2016)
Moving to a World Beyond “p < 0.05” Ronald L. Wasserstein, Allen L. Schirm, Nicole A. Lazar Vol. 73 Iss. sup 1 (2019)
Data Organization in Spreadsheets Karl W. Broman, Kara H. Woo Vol. 72 Iss. 1 (2018)
Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication Valentin Amrhein, David Trafimow, Sander Greenland Vol. 73 Iss. sup 1 (2019)
Abandon Statistical Significance Blakeley B. McShane, David Gal, Andrew Gelman, Christian Robert, Jennifer L. Tackett Vol. 73 Iss. sup 1 (2019)
What Have We (Not) Learnt from Millions of Scientific Papers with P Values? John P. A. Ioannidis Vol. 73 Iss. sup 1 (2019)
Valid P-Values Behave Exactly as They Should: Some Misleading Criticisms of P-Values and Their Resolution With S-Values Sander Greenland Vol. 73 Iss. sup 1 (2019)
Three Recommendations for Improving the Use of p-Values Daniel J. Benjamin, James Berger, James O. Berger Vol. 73 Iss. sup 1 (2019)
Informed Bayesian t-Tests Eric-Jan Wagenmakers, Quentin F. Gronau, Alexander Ly Vol. 74 Iss. 2 (2020)
Assessing the Statistical Analyses Used in Basic and Applied Social Psychology After Their p-Value Ban William H. Woodall, Ronald D. Fricker, Katherine Burke, Xiaoyan Han Vol. 73 Iss. sup 1 (2019)
Article Title Author Volume Issue
A Second Chance to Get Causal Inference Right: A Classification of Data Science Tasks Miguel A. Hernán, John Hsu, Brian Healy Vol. 32 Iss. 1 (2019)
Machine Learning, a Probabilistic Perspective Christian Robert Vol. 27 Iss. 2 (2014)
Length of the Beatles' Songs Tatsuki Koyama Vol. 32 Iss. 1 (2019)
Three is Greater than Two? Not So Fast… Justin Jacobs Vol. 33 Iss. 2 (2020)
The Importance of Data Cleaning: Three Visualization Examples Christine P. Chai Vol. 33 Iss. 1 (2020)
Predicting Movie Grosses: Winners and Losers, Blockbusters and Sleepers Jeffrey S. Simonoff, Ilana R. Sparrow Vol. 13 Iss. 3 (2000)
Why Most Published Research Findings Are False John P.A. Ioannidis Vol. 32 Iss. 1 (2019)
Meet Cynthia Rudin A Champion of Interpretable Machine Learning Sam Behseta, Michelle Dunn Vol. 33 Iss. 2 (2020)
Probability and Statistics for Engineers and Scientists (9th Edition) Pierre Jacob Vol. 26 Iss. 3 (2013)
A Modification to Pull the Goalie that Takes the State of Play into Account: Coach Markov Returns Zia Zaman, Hong Ming Tan Vol. 33 Is.1 (2020)
Statistics in Biopharmaceutical Research
Article Title Author Volume Issue
Optimal Designs for Non-Compartmental Analysis of Pharmacokinetic Studies Helen Yvette Barnett, Helena Geys, Tom Jacobs, Thomas Jaki Vol. 10 Iss. 4 (2018)
Causal Inference and Estimands in Clinical Trials Bohdana Ratitch, Ilya Lipkovich, Craig H. Mallinckrodt Vol. 12 Iss. 1 (2020)
Alternative Analysis Methods for Time to Event Endpoints Under Nonproportional Hazards: A Comparative Analysis Keaven M. Anderson, Tianle Hu, Bo Huang et al. Vol. 12 Iss. 2 (2020)
Methods for Non-Compartmental Pharmacokinetic Analysis With Observations Below the Limit of Quantification Tom Jacobs, Helena Geys, Thomas Jaki, Helen Yvette Barnett
The FDA's Final Rule on Expedited Safety Reporting: Statistical Considerations H. Amy Xia, Judith Kramer, David Hall et al. Vol. 7 Iss. 3 (2015)
Sample Size Re-estimation Designs In Confirmatory Clinical Trials—Current State, Statistical Considerations, and Practical Guidance Yili L. Pritchett, Sandeep Menon, Olga Marchenko, Zoran Antonijevic, Eva Miller, Matilde Sanchez-Kam, Caroline C. Morgan-Bouniol, Ha Nguyen, William R. Prucka Vol. 7 Iss. 4 (2015)
The Use of a Variable Representing Compliance Improves Accuracy of Estimation of the Effect of Treatment Allocation Regardless of Discontinuation in Trials with Incomplete Follow-up Robin Ristl, L. Guizzaro, Lorenzo Guizzaro et al.
A General Framework for Treatment Effect Estimators Considering Patient Adherence Junxiang Luo, Stephen J. Ruberg, Stephen Ruberg, Haoda Fu, Yongming Qu Vol. 12 Iss. 1 (2020)
Step-Down Parametric Procedures for Testing Correlated Endpoints in a Group-Sequential Trial Yiyong Fu Vol. 10 Iss. 1 (2018)
Estimands and Their Role in Clinical Trials David Ohlssen, Frank Bretz, Heinz Schmidli, Mouna Akacha, Gerd Rosenkranz Vol. 9 Iss. 3 (2017)
Statistics and Public Policy
Article Title Author Volume Issue
Is the Gini Index of Inequality Overly Sensitive to Changes in the Middle of the Income Distribution? Joseph L. Gastwirth Vol. 4 Iss. 1 (2017)
Does Predictive Policing Lead to Biased Arrests? Results From a Randomized Controlled Trial P. Jeffrey Brantingham, Matthew Valasik, George O. Mohler Vol. 5 Iss. 1 (2018)
Study of Salary Differentials by Gender and Discipline L. Billard Vol. 4 Iss. 1 (2017)
19 Things We Learned from the 2016 Election Julia Azari, Andrew Gelman Vol. 4 Iss. 1 (2017)
ADGN: An Algorithm for Record Linkage Using Address, Date of Birth, Gender, and Name Stephen Ansolabehere, Eitan D. Hersh Vol. 4 Iss. 1 (2017)
The Twentieth-Century Reversal: How Did the Republican States Switch to the Democrats and Vice Versa? Andrew Gelman Vol. 1 Iss. 1 (2014)
A Spatial Study of the Location of Superfund Sites and Associated Cancer Risk Raid Amin, Arlene Nelson, Shannon McDougall Vol. 5 Iss. 1 (2018)
Statistics, Probability, and a Failed Conservation Policy Michael D. Collins Vol. 6 Iss. 1 (2019)
Using First Name Information to Improve Race and Ethnicity Classification Ioan Voicu Vol. 5 Iss. 1 (2018)
On Racial Disparities in Recent Fatal Police Shootings Lucas Mentch Vol. 7 Iss. 1 (2020)
Journal of Statistics Education
Article Title Author Volume Issue
“Should This Loan be Approved or Denied?”: A Large Dataset with Class Assignment Guidelines Min Li, Amy Mickel, Stanley Taylor Vol. 26 Iss. 1 (2018)
Introduction to Multiple Regression: How Much Is Your Car Worth? Shonda Kuiper Vol. 16 Iss. 3 (2008)
Confidence Intervals for the Mean of a Log-Normal Distribution Ulf Olsson Vol. 13 Iss. 1 (2005)
Galton, Pearson, and the Peas: A Brief History of Linear Regression for Statistics Instructors Jeffrey M. Stanton Vol. 9 Iss. 3 (2001)
Assessing Effectiveness of Mnemonics for Tertiary Students in a Hybrid Introductory Statistics Course Megan Mocko, Lawrence M. Lesser, Amy E. Wagler, Wendy S. Francis Vol. 25 Iss. 1 (2017)
A Bayesian Look at Classical Estimation: The Exponential Distribution David M. Reineke, Abdulaziz Elfessi Vol. 9 Iss. 1 (2001)
Quartiles in Elementary Statistics Eric Langford Vol. 14 Iss. 3 (2006)
Mean, Median and Mode from a Decision Perspective Melinda Miller Holt, Stephen M. Scariano Vol. 17 Iss. 3 (2009)
A Comparison of Computer-Assisted Instruction and the Traditional Method of Teaching Basic Statistics Carmelita Y. Ragasa Vol. 16 Iss. 1 (2008)
Components of Statistical Thinking and Implications for Instruction and Assessment Beth L. Chance Vol. 10 Iss. 3 (2002)
Journal of Business & Economic Statistics
Article Title Author Volume Issue
Unobservable Selection and Coefficient Stability: Theory and Evidence Emily Oster Vol. 37 Iss. 2 (2019)
Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs Andrew Gelman, Guido Imbens Vol. 37 Iss. 3 (2019)
Poorly Measured Confounders are More Useful on the Left than on the Right Zhuan Pei, Jörn-Steffen Pischke, Hannes Schwandt Vol. 37 Iss. 2 (2019)
Inducing Sparsity and Shrinkage in Time-Varying Parameter Models Florian Huber, Luca Onorante, Gary Koop
Bank Business Models at Zero Interest Rates André Lucas, Julia Schaumburg, Bernd Schwaab Vol. 37 Iss. 3 (2019)
Unspanned Macroeconomic Factors in the Yield Curve Laura Coroneo, Michele Modugno, Domenico Giannone Vol. 34 Iss. 3(2016)
Causal Interpretations of Black-Box Models Qingyuan Zhao, Trevor Hastie
Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models Arthur Lewbel Vol. 30 Iss. 1 (2012)
Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods Gabriel F. R. Vasconcelos, Eduardo Zilberman, Marcelo C. Medeiros, Ãlvaro Veiga
FRED-MD: A Monthly Database for Macroeconomic Research Serena Ng, Michael W. McCracken Vol. 34 Iss. 4 (2016)
Journal of Computational and Graphical Statistics
Article Title Author Volume Issue
50 Years of Data Science David Donoho Vol. 26 Iss. 4 (2017)
Calendar-Based Graphics for Visualizing People’s Daily Schedules Dianne Cook, Earo Wang, Rob J. Hyndman
BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond) Nikolaus Umlauf, Nadja Klein, Achim Zeileis Vol. 27 Iss. 3 (2018)
Influence Diagnostics for High-Dimensional Lasso Regression Doug Sparks, Bala Rajaratnam, Honglin Yu, Steven Roberts Vol. 28 Iss. 4 (2019)
A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data Earo Wang, Dianne Cook, Rob J. Hyndman Vol. 27 Iss. 1 (2018)
Clustering Categorical Data via Ensembling Dissimilarity Matrices Saeid Amiri, Bertrand S. Clarke, Jennifer L. Clarke Vol. 27 Iss. 1 (2018)
Adaptive Incremental Mixture Markov Chain Monte Carlo Adrian E. Raftery, Florian Maire, Nial Friel, Antonietta Mira Vol. 28 Iss. 4 (2019)
A Sparse-Group Lasso Robert Tibshirani, Jerome Friedman, Trevor Hastie, Noah Simon Vol. 22 Iss. 2 (2013)
The Generalized Ridge Estimator of the Inverse Covariance Matrix Wessel N. van Wieringen Vol. 28 Iss. 4 (2019)
Detecting Changes in Slope With an L0 Penalty A N Letchford, Robert Maidstone, Adam Letchford, Paul Fearnhead Vol. 28 Iss. 2 (2019)
Article Title Author Volume Issue
Most Recent Changepoint Detection in Panel Data Lawrence Bardwell, Paul Fearnhead, Idris A. Eckley, Simon Smith, Martin Spott Vol. 61 Iss. 1 (2019)
Peaks Over Thresholds Modeling With Multivariate Generalized Pareto Distributions Anna Kiriliouk, Holger Rootzén, Johan Segers, Jennifer L. Wadsworth Vol. 61 Iss. 1 (2019)
MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise Outliers Peter J. Rousseeuw, Mia Hubert, Wannes Van den Bossche Vol. 61 Iss. 4 (2019)
In Memoriam: George E. P. Box J. Stuart Hunter Vol. 55 Iss. 2 (2013)
Fast Robust Correlation for High-Dimensional Data Peter J. Rousseeuw, Jakob Raymaekers
Detecting Deviating Data Cells Wannes Van Den Bossche, Peter J. Rousseeuw Vol. 60 Iss. 2 (2018)
Experimental Design for Engineering Dimensional Analysis Thomas A. Albrecht, R. Dennis Cook, R. Dennis Cook, Christopher J. Nachtsheim, Mark C. Albrecht Vol. 55 Iss. 3 (2013)
Technometrics 2019 Editor's Report Daniel W. Apley Vol. 62 Iss. 1 (2020)
Bayesian Design of Experiments Using Approximate Coordinate Exchange David C. Woods, Antony M. Overstall Vol. 59 Iss. 4 (2017)
Constructing D-Efficient Mixed-Level Foldover Designs Using Hadamard Matrices Nam-Ky Nguyen, Tung-Dinh Pham, Phuong Vuong Mai Vol. 62 Iss. 1 (2020)