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Most Read Collection from the American Statistical Association

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

Each featured paper is free to view until the end of 2019, 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)
Limits to Human Life Span Through Extreme Value TheoryJesson J. Einmahl, John H. J. Einmahl, Laurens de Haan
A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRICheng-Han Yu, Raquel Prado, Hernando Ombao, Daniel Rowe
Vol. 113 Iss. 524
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 StatisticiansDavid M. Blei, Alp Kucukelbir, Jon D. McAuliffe
Vol. 112 Iss. 518
Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and OutcomesSonja A. Swanson, Miguel A. Hernán, Matthew Miller, James M. Robins, Thomas S. Richardson
Vol. 113 Iss 522 (2018)
Nonparametric Estimation of Copula Regression Models With Discrete OutcomesLu Yang, Edward W. Frees, Zhengjun Zhang
Changepoint Detection in the Presence of OutliersPaul Fearnhead &Guillem RigaillVol. 114 Iss. 525
Speeding Up MCMC by Efficient Data SubsamplingMatias Quiroz,Robert Kohn,Mattias Villani & Minh-Ngoc Tran

The American Statistician

Article Title Author Volume Issue
Moving to a World Beyond “p < 0.05”Ronald L. Wasserstein, Allen L. Schirm, Nicole A. Lazar
Vol. 73 Iss. sup 1 (2019)
The ASA's Statement on p-Values: Context, Process, and PurposeRonald L. Wasserstein, Nicole A. Lazar
Vol. 70 Iss. 2 (2016)
Data Organization in SpreadsheetsKarl W. Broman, Kara H. Woo
Vol. 72 Iss. 1 (2018)
What Have We (Not) Learnt from Millions of Scientific Papers with P Values?John P. A. Ioannidis
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)
Why is Getting Rid of P-Values So Hard? Musings on Science and StatisticsSteven N. Goodman
Vol. 73 Iss. sup 1 (2019)
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)
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)
Beyond Calculations: A Course in Statistical ThinkingE. Ashley Steel, Martin Liermann, Peter Guttorp
Vol. 73 Iss. sup 1 (2019)
Correcting Corrupt Research: Recommendations for the Profession to Stop Misuse of p-ValuesJohn L. Kmetz
Vol. 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)
Why Most Published Research Findings Are FalseJohn P.A. Ioannidis
Vol. 32 Iss. 1 (2019)
Why Most Published Research Findings Are FalseJohn P. A. Ioannidis
Vol. 18 Iss. 4 (2005)
How We Know that the Earth is WarmingPeter Guttorp
Vol. 32 Iss. 1 (2019)
Working Where Statistics and Human Rights MeetRobin Mejia, Megan Price
Vol. 31 Iss. 1 (2018)
All Together Now: A Perspective on the Netflix PrizeRobert M. Bell, Yehuda Koren, Chris Volinsky
Vol. 23 Iss. 1 (2010)
Predicting Movie Grosses: Winners and Losers, Blockbusters and SleepersJeffrey S. Simonoff, Ilana R. Sparrow
Vol. 13 Iss. 3 (2000)
10 Great Ideas About ChanceChristian Robert
Vol. 32 Iss. 1 (2019)
Length of the Beatles' SongsTatsuki Koyama
Vol. 32 Iss. 1 (2019)

Statistics in Biopharmaceutical Research

Article Title AuthorVolume Issue
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)
Optimal Designs for Non-Compartmental Analysis of Pharmacokinetic StudiesHelen Yvette Barnett, Helena Geys, Tom Jacobs, Thomas Jaki
Vol. 10 Iss. 4 (2018)
Simulation Practices For Adaptive Trial Designs In Drug And Device DevelopmentC. Mayer, I. Perevoskaya, S. Leonov, V. Dragalin, Y. Pritchett, A. Bedding, A. Hartford, P. Fardipour, G. Cicconetti
The FDA's Final Rule on Expedited Safety Reporting: Statistical ConsiderationsJanet Wittes, Brenda Crowe, Christy Chuang-Stein, Achim Guettner, David Hall, Qi Jiang, Daniel Odenheimer, H. Amy Xia, Judith Kramer
Vol. 7 Iss. 3 (2015)
Estimands and Their Role in Clinical TrialsMouna Akacha, Frank Bretz, David Ohlssen, Gerd Rosenkranz, Heinz Schmidli
Vol. 9 Iss. 3 (2017)
Step-Down Parametric Procedures for Testing Correlated Endpoints in a Group-Sequential TrialYiyong Fu
Vol. 10 Iss. 1 (2014)
A Quantitative Process for Enhancing End of Phase 2 DecisionsTony Sabin, James Matcham, Sarah Bray, Andrew Copas, Mahesh K. B. Parmar
Vol. 6 Iss. 1 (2014)
Evaluation of Drug Combination Effect Using a Bliss Independence Dose–Response Surface ModelQin Liu, Xiangfan Yin, Lucia R. Languino, Dario C. Altieri
Vol. 10 Iss. 2 (2018)
Hierarchical Testing of a Primary and a Secondary Endpoint in a Group Sequential Design With Different Information TimesJiangtao Gou, Dong Xi
On Quantitative Methods for Clinical Safety Monitoring in Drug DevelopmentWilliam Wang, Ed Whalen, Melvin Munsaka, Judy Li, Michael Fries, Karolyn Kracht, Matilde Sanchez-Kam, Krishan Singh, Kefei Zhou
Vol. 10 Iss. 2 (2018)

Statistics and Public Policy - OPEN ACCESS

Article TitleAuthorVolume Issue
19 Things We Learned from the 2016 ElectionAndrew Gelman, Julia Azari
Vol. 4 Iss. 1 (2017)
A Spatial Study of the Location of Superfund Sites and Associated Cancer RiskRaid Amin, Arlene Nelson, Shannon McDougall
Vol. 5 Iss. 1 (2018)
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)
ADGN: An Algorithm for Record Linkage Using Address, Date of Birth, Gender, and NameStephen Ansolabehere, Eitan D. Hersh
Vol. 4 Iss. 1 (2017)
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)
The Twentieth-Century Reversal: How Did the Republican States Switch to the Democrats and Vice Versa?Andrew Gelman
Vol. 1 Iss. 1 (2014)
Examining the Carnegie Classification Methodology for Research UniversitiesRobert Kosar, David W. Scott
Vol. 5 Iss. 1 (2018)
A Statistical Diagnosis of Customer Risk Ratings in Anti-Money Laundering SurveillanceBhojnarine R. Rambharat, Andrew J. Tschirhart
Vol. 2 Iss. 1 (2015)
Accumulating Evidence of the Impact of Voter ID Laws: Student Engagement in the Political ProcessKelly S. McConville, Lynne Stokes, Mary Gray
Vol. 5 Iss. 1 (2018)

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)
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)
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)
Quartiles in Elementary StatisticsEric Langford
Vol. 14 Iss. 3 (2006)
A Comparison of Computer-Assisted Instruction and the Traditional Method of Teaching Basic StatisticsCarmelita Y. Ragasa
Vol. 16 Iss. 1 (2008)
Interpretations of Boxplots: Helping Middle School Students to Think Outside the BoxThomas G. Edwards, Aslı Özgün-Koca, John Barr
Vol. 25 Iss. 1 (2017)
Traditional versus Non-traditional Teaching: Perspectives of Students in Introductory Statistics ClassesH. Dean Johnson, Nairanjana Dasgupta
Vol. 13 Iss. 2 (2005)
Teaching Statistics Using Small-Group Cooperative LearningJoan Garfield
Vol. 1 Iss. 1 (1993)

Journal of Business & Economic Statistics

Article Title Author Volume Issue
Unobservable Selection and Coefficient Stability: Theory and EvidenceEmily Oster
Dynamic Conditional Correlation A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity ModelsRobert Engle
Vol. 20 Iss. 3 (2002)
Why High-Order Polynomials Should Not Be Used in Regression Discontinuity DesignsAndrew Gelman, Guido Imbens
Unspanned Macroeconomic Factors in the Yield CurveLaura Coroneo, Domenico Giannone, Michele Modugno
Vol. 34 Iss. 3 (2016)
Too Connected to Fail? Inferring Network Ties From Price Co-MovementsJakob J. Bosma, Michael Koetter, Michael Wedow
Vol. 37 Iss. 1 (2019)
FRED-MD: A Monthly Database for Macroeconomic ResearchMichael W. McCracken, Serena Ng
Vol. 34 Iss. 4 (2016)
Bank Business Models at Zero Interest RatesAndré Lucas, Julia Schaumburg, Bernd Schwaab
Poorly Measured Confounders are More Useful on the Left than on the RightZhuan Pei, Jörn-Steffen Pischke, Hannes Schwandt
Robust Inference With Multiway ClusteringA. Colin Cameron, Jonah B. Gelbach, Douglas L. Miller
Vol. 29 Iss. 2 (2011)
Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects ModelsJames E. Pustejovsky, Elizabeth Tipton
Vol. 36 Iss. 4 (2018)

Journal of Computational and Graphical Statistics

Article Title Author Volume Issue
50 Years of Data ScienceDavid Donoho
Vol. 26 Iss. 4 (2017)
BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)Nikolaus Umlauf, Nadja Klein, Achim Zeileis
Vol. 27 Iss. 3 (2018)
Bayesian Nonparametric Modeling for Causal InferenceJennifer L. Hill
Vol. 20 Iss. 1 (2011)
Efficient Covariance Approximations for Large Sparse Precision MatricesPer Sidén, Finn Lindgren, David Bolin, Mattias Villani
Vol. 27 Iss. 4 (2018)
Clustering Categorical Data via Ensembling Dissimilarity MatricesSaeid Amiri, Bertrand S. Clarke, Jennifer L. Clarke
Vol. 27 Iss. 1 (2018)
A Sparse-Group LassoNoah Simon, Jerome Friedman, Trevor Hastie, Robert Tibshirani
Vol. 22 Iss. 2 (2013)
Unbiased Recursive Partitioning: A Conditional Inference FrameworkTorsten Hothorn, Kurt Hornik, Achim Zeileis
Vol. 15 Iss. 3 (2006)
Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility ModelsGregor Kastner, Sylvia Frühwirth-Schnatter, Hedibert Freitas Lopes
Vol. 26 Iss. 4 (2017)
A General Hybrid Clustering TechniqueSaeid Amiri, Bertrand S. Clarke, Jennifer L. Clarke, Hoyt Koepke
Vol. 27 Iss. 4 (2018)


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)
Ridge Regression: Biased Estimation for Nonorthogonal ProblemsArthur E. Hoerl, Robert W. Kennard
Vol. 12 Iss. 1 (1970)
Peaks Over Thresholds Modeling With Multivariate Generalized Pareto DistributionsAnna Kiriliouk, Holger Rootzén, Johan Segers, Jennifer L. Wadsworth
Vol. 61 Iss. 1 (2019)
Constructing D-Efficient Mixed-Level Foldover Designs Using Hadamard MatricesNam-Ky Nguyen, Tung-Dinh Pham, Phuong Vuong Mai
Detecting Deviating Data CellsPeter J. Rousseeuw, Wannes Van Den Bossche
Vol. 60 Iss. 2 (2018)
Bayesian Design of Experiments Using Approximate Coordinate ExchangeAntony M. Overstall, David C. Woods
Vol. 59 Iss. 4 (2017)
Technometrics 2018 Editor's ReportDaniel Apley
Vol. 61 Iss. 1 (2019)
Replication or Exploration? Sequential Design for Stochastic Simulation ExperimentsMickaël Binois, Jiangeng Huang, Robert B. Gramacy, Mike Ludkovski
Vol. 61 Iss. 1 (2019)
ADMM for High-Dimensional Sparse Penalized Quantile RegressionYuwen Gu, Jun Fan, Lingchen Kong, Shiqian Ma, Hui Zou
Vol. 60 Iss. 3 (2018)
A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model OutputA. Saltelli, S. Tarantola, K. P.-S. Chan
Vol. 41 Iss. 1 (1999)