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Most Read Collection from the American Statistical Association

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)

CHANCE

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 - OPEN ACCESS

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 - OPEN ACCESS

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)

Technometrics

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)