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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.

Journal of the American Statistical Association

Article TitleAuthorVolume Issue
Estimation and Inference of Heterogeneous Treatment Effects using Random ForestsStefan Wager, Susan Athey
Vol. 113 Iss. 523 (2018)
The Blessings of Multiple CausesDavid M. Blei, Yixin WangVol. 114 Iss. 528 (2019)
Smoothing Parameter and Model Selection for General Smooth ModelsSimon 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 McauliffeVol.112 Iss. 518 (2017)
Limits to Human Life Span Through Extreme Value TheoryLaurens de Haan, John H.J. Einmahl, Jesson J. Einmahl, John H. J. EinmahlVol.114 Iss. 527 (2019)
A Hierarchical Framework for Correcting Under-Reporting in Count DataGabriela Drummond Marques da Silva, Oliver Stoner, Theodoros EconomouVol. 114 Iss. 528 (2019)
Value of Information: Sensitivity Analysis and Research Design in Bayesian Evidence SynthesisDaniela De Angelis, Stefano Conti, Anne Presanis, Christopher JacksonVol.114 Iss. 528 (2019)
Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. BleiSusan Athey, Guido W. Imbens, Michael PollmannVol.114 Iss. 528 (2019)
Sensitivity Analysis for Unmeasured Confounding in Meta-AnalysesMaya B. Mathur, Tyler J. VanderWeeleVol. 115 Iss. 529 (2020)
Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control ProgramJens Hainmueller, Alexis Diamond, Alberto AbadieVol.105 Iss. 490 (2010)

The American Statistician

Article Title Author Volume Issue
The ASA's Statement on p-Values: Context, Process, and PurposeRonald 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 SpreadsheetsKarl 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 ReplicationValentin Amrhein, David Trafimow, Sander Greenland
Vol. 73 Iss. sup 1 (2019)
Abandon Statistical SignificanceBlakeley 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-ValuesSander Greenland
Vol. 73 Iss. sup 1 (2019)
Three Recommendations for Improving the Use of p-ValuesDaniel J. Benjamin, James Berger, James O. BergerVol. 73 Iss. sup 1 (2019)
Informed Bayesian t-TestsEric-Jan Wagenmakers, Quentin F. Gronau, Alexander LyVol. 74 Iss. 2 (2020)
Assessing the Statistical Analyses Used in Basic and Applied Social Psychology After Their p-Value BanWilliam H. Woodall, Ronald D. Fricker, Katherine Burke, Xiaoyan HanVol. 73 Iss. sup 1 (2019)


Article Title Author Volume Issue
A Second Chance to Get Causal Inference Right: A Classification of Data Science TasksMiguel A. Hernán, John Hsu, Brian Healy
Vol. 32 Iss. 1 (2019)
Machine Learning, a Probabilistic PerspectiveChristian Robert
Vol. 27 Iss. 2 (2014)
Length of the Beatles' SongsTatsuki Koyama
Vol. 32 Iss. 1 (2019)
Three is Greater than Two? Not So Fast…Justin JacobsVol. 33 Iss. 2 (2020)
The Importance of Data Cleaning: Three Visualization ExamplesChristine P. Chai
Vol. 33 Iss. 1 (2020)
Predicting Movie Grosses: Winners and Losers, Blockbusters and SleepersJeffrey S. Simonoff, Ilana R. Sparrow
Vol. 13 Iss. 3 (2000)
Why Most Published Research Findings Are FalseJohn P.A. IoannidisVol. 32 Iss. 1 (2019)
Meet Cynthia Rudin A Champion of Interpretable Machine LearningSam Behseta, Michelle DunnVol. 33 Iss. 2 (2020)
Probability and Statistics for Engineers and Scientists (9th Edition)Pierre JacobVol. 26 Iss. 3 (2013)
A Modification to Pull the Goalie that Takes the State of Play into Account: Coach Markov ReturnsZia Zaman, Hong Ming TanVol. 33 Is.1 (2020)

Statistics in Biopharmaceutical Research

Article Title AuthorVolume Issue
Optimal Designs for Non-Compartmental Analysis of Pharmacokinetic StudiesHelen Yvette Barnett, Helena Geys, Tom Jacobs, Thomas Jaki
Vol. 10 Iss. 4 (2018)
Causal Inference and Estimands in Clinical TrialsBohdana Ratitch, Ilya Lipkovich, Craig H. MallinckrodtVol. 12 Iss. 1 (2020)
Alternative Analysis Methods for Time to Event Endpoints Under Nonproportional Hazards: A Comparative AnalysisKeaven 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 QuantificationTom Jacobs, Helena Geys, Thomas Jaki, Helen Yvette Barnett
The FDA's Final Rule on Expedited Safety Reporting: Statistical ConsiderationsH. 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 GuidanceYili 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-upRobin Ristl, L. Guizzaro, Lorenzo Guizzaro et al.
A General Framework for Treatment Effect Estimators Considering Patient AdherenceJunxiang Luo, Stephen J. Ruberg, Stephen Ruberg, Haoda Fu, Yongming QuVol. 12 Iss. 1 (2020)
Step-Down Parametric Procedures for Testing Correlated Endpoints in a Group-Sequential TrialYiyong FuVol. 10 Iss. 1 (2018)
Estimands and Their Role in Clinical TrialsDavid Ohlssen, Frank Bretz, Heinz Schmidli, Mouna Akacha, Gerd RosenkranzVol. 9 Iss. 3 (2017)

Statistics and Public Policy - OPEN ACCESS

Article TitleAuthorVolume Issue
Is the Gini Index of Inequality Overly Sensitive to Changes in the Middle of the Income Distribution?Joseph L. GastwirthVol. 4 Iss. 1 (2017)
Does Predictive Policing Lead to Biased Arrests? Results From a Randomized Controlled TrialP. Jeffrey Brantingham, Matthew Valasik, George O. Mohler
Vol. 5 Iss. 1 (2018)
Study of Salary Differentials by Gender and DisciplineL. Billard
Vol. 4 Iss. 1 (2017)
19 Things We Learned from the 2016 ElectionJulia Azari, Andrew GelmanVol. 4 Iss. 1 (2017)
ADGN: An Algorithm for Record Linkage Using Address, Date of Birth, Gender, and NameStephen 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 RiskRaid Amin, Arlene Nelson, Shannon McDougallVol. 5 Iss. 1 (2018)
Statistics, Probability, and a Failed Conservation PolicyMichael D. CollinsVol. 6 Iss. 1 (2019)
Using First Name Information to Improve Race and Ethnicity ClassificationIoan Voicu
Vol. 5 Iss. 1 (2018)
On Racial Disparities in Recent Fatal Police ShootingsLucas 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 GuidelinesMin 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 DistributionUlf Olsson
Vol. 13 Iss. 1 (2005)
Galton, Pearson, and the Peas: A Brief History of Linear Regression for Statistics InstructorsJeffrey M. Stanton
Vol. 9 Iss. 3 (2001)
Assessing Effectiveness of Mnemonics for Tertiary Students in a Hybrid Introductory Statistics CourseMegan Mocko, Lawrence M. Lesser, Amy E. Wagler, Wendy S. Francis
Vol. 25 Iss. 1 (2017)
A Bayesian Look at Classical Estimation: The Exponential DistributionDavid M. Reineke, Abdulaziz ElfessiVol. 9 Iss. 1 (2001)
Quartiles in Elementary StatisticsEric Langford
Vol. 14 Iss. 3 (2006)
Mean, Median and Mode from a Decision PerspectiveMelinda Miller Holt, Stephen M. ScarianoVol. 17 Iss. 3 (2009)
A Comparison of Computer-Assisted Instruction and the Traditional Method of Teaching Basic StatisticsCarmelita Y. Ragasa
Vol. 16 Iss. 1 (2008)
Components of Statistical Thinking and Implications for Instruction and AssessmentBeth L. Chance
Vol. 10 Iss. 3 (2002)

Journal of Business & Economic Statistics

Article Title Author Volume Issue
Unobservable Selection and Coefficient Stability: Theory and EvidenceEmily Oster
Vol. 37 Iss. 2 (2019)
Why High-Order Polynomials Should Not Be Used in Regression Discontinuity DesignsAndrew Gelman, Guido Imbens
Vol. 37 Iss. 3 (2019)
Poorly Measured Confounders are More Useful on the Left than on the RightZhuan Pei, Jörn-Steffen Pischke, Hannes SchwandtVol. 37 Iss. 2 (2019)
Inducing Sparsity and Shrinkage in Time-Varying Parameter ModelsFlorian Huber, Luca Onorante, Gary Koop
Bank Business Models at Zero Interest RatesAndré Lucas, Julia Schaumburg, Bernd Schwaab
Vol. 37 Iss. 3 (2019)
Unspanned Macroeconomic Factors in the Yield CurveLaura Coroneo, Michele Modugno, Domenico GiannoneVol. 34 Iss. 3(2016)
Causal Interpretations of Black-Box ModelsQingyuan Zhao, Trevor Hastie
Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor ModelsArthur LewbelVol. 30 Iss. 1 (2012)
Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning MethodsGabriel F. R. Vasconcelos, Eduardo Zilberman, Marcelo C. Medeiros, Ãlvaro Veiga
FRED-MD: A Monthly Database for Macroeconomic ResearchSerena Ng, Michael W. McCrackenVol. 34 Iss. 4 (2016)

Journal of Computational and Graphical Statistics

Article Title Author Volume Issue
50 Years of Data ScienceDavid Donoho
Vol. 26 Iss. 4 (2017)
Calendar-Based Graphics for Visualizing People’s Daily SchedulesDianne 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 RegressionDoug Sparks, Bala Rajaratnam, Honglin Yu, Steven RobertsVol. 28 Iss. 4 (2019)
A New Tidy Data Structure to Support Exploration and Modeling of Temporal DataEaro Wang, Dianne Cook, Rob J. HyndmanVol. 27 Iss. 1 (2018)
Clustering Categorical Data via Ensembling Dissimilarity MatricesSaeid Amiri, Bertrand S. Clarke, Jennifer L. ClarkeVol. 27 Iss. 1 (2018)
Adaptive Incremental Mixture Markov Chain Monte CarloAdrian E. Raftery, Florian Maire, Nial Friel, Antonietta MiraVol. 28 Iss. 4 (2019)
A Sparse-Group LassoRobert Tibshirani, Jerome Friedman, Trevor Hastie, Noah SimonVol. 22 Iss. 2 (2013)
The Generalized Ridge Estimator of the Inverse Covariance MatrixWessel N. van WieringenVol. 28 Iss. 4 (2019)
Detecting Changes in Slope With an L0 PenaltyA N Letchford, Robert Maidstone, Adam Letchford, Paul FearnheadVol. 28 Iss. 2 (2019)


Article Title AuthorVolume Issue
Most Recent Changepoint Detection in Panel DataLawrence Bardwell, Paul Fearnhead, Idris A. Eckley, Simon Smith, Martin Spott
Vol. 61 Iss. 1 (2019)
Peaks Over Thresholds Modeling With Multivariate Generalized Pareto DistributionsAnna 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 OutliersPeter J. Rousseeuw, Mia Hubert, Wannes Van den BosscheVol. 61 Iss. 4 (2019)
In Memoriam: George E. P. BoxJ. Stuart HunterVol. 55 Iss. 2 (2013)
Fast Robust Correlation for High-Dimensional DataPeter J. Rousseeuw, Jakob Raymaekers
Detecting Deviating Data CellsWannes Van Den Bossche, Peter J. RousseeuwVol. 60 Iss. 2 (2018)
Experimental Design for Engineering Dimensional AnalysisThomas A. Albrecht, R. Dennis Cook, R. Dennis Cook, Christopher J. Nachtsheim, Mark C. AlbrechtVol. 55 Iss. 3 (2013)
Technometrics 2019 Editor's ReportDaniel W. ApleyVol. 62 Iss. 1 (2020)
Bayesian Design of Experiments Using Approximate Coordinate ExchangeDavid C. Woods, Antony M. OverstallVol. 59 Iss. 4 (2017)
Constructing D-Efficient Mixed-Level Foldover Designs Using Hadamard MatricesNam-Ky Nguyen, Tung-Dinh Pham, Phuong Vuong Mai
Vol. 62 Iss. 1 (2020)