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Most Read Collection from the American Statistical Association

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We are pleased to bring you this Most Read Collection of articles from the American Statistical Association's publications. Each featured article is free to view, exclusively via this page, until the end of 2021. 

 

 

 

The American Statistician
Article Author
Informed Bayesian t-Tests Eric-Jan Wagenmakers, Quentin F. Gronau, Alexander Ly
The Democratization of Data Science Education Brian S. Caffo, Sean Kross, Jeffrey T. Leek, Ira Gooding, Roger D. Peng
Feature Engineering and Selection: A Practical Approach for Predictive Models Brandon Butcher, Brian J. Smith
Modern Statistics for Modern Biology G. Brooke Anderson, Bailey K. Fosdick, Bailey Fosdick
Fostering Undergraduate Data Science Fulya Gokalp Yavuz, Mark Daniel Ward, Fulya Gokalp Yavuz
Journal of the American Statistical Association
Article Author
Prediction, Estimation, and Attribution Bradley Efron
Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses Maya B. Mathur, Tyler J. VanderWeele
Reinforcing the Impact of Statistics on Society Karen Kafadar
Efficiently Inferring the Demographic History of Many Populations With Allele Count Data Yun S. Song, Jack Kamm, Richard Durbin, Jonathan Terhorst
A Tuning-free Robust and Efficient Approach to High-dimensional Regression Runze Li, Jelena Bradic, Bo Peng, Lan Wang, Yunan Wu
Journal of Business & Economic Statistics
Article Author
Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods Gabriel F. R. Vasconcelos, Eduardo Zilberman, Marcelo C. Medeiros, Ãlvaro Veiga
Multi-Horizon Forecast Comparison Rogier Quaedvlieg
Causal Interpretations of Black-Box Models Qingyuan Zhao, Trevor Hastie
The Promise and Pitfalls of Differences-in-Differences: Reflections on 16 and Pregnant and Other Applications Kevin Lang, Ariella Kahn-Lang
GMM Estimation of Non-Gaussian Structural Vector Autoregression Jani Luoto, Markku Lanne
Journal of Computational and Graphical Statistics
Article Author
Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models Panayiota Touloupou, Bärbel Finkenstädt &Simon E. F. Spencer
The Rational SPDE Approach for Gaussian Random Fields With General Smoothness David Bolin, Kristin Kirchner
Parallelization of a Common Changepoint Detection Method K. Haynes, P. Fearnhead, S. O. Tickle, I. A. Eckley
A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data Earo Wang, Rob J. Hyndman, Dianne Cook
Calendar-Based Graphics for Visualizing People’s Daily Schedules Rob J. Hyndman, Dianne Cook, Earo Wang
Journal of Statistics and Data Science Education
Article Author
Why We Should Teach Causal Inference: Examples in Linear Regression With Simulated Data Karsten Lübke, Matthias Gehrke, Jörg Horst & Gero Szepannek
Causal Inference in Introductory Statistics Courses James Pleuss, Krista Watts, Nicholas Clark, Kevin Cummiskey, Bryan Adams, Dusty Turner
Writing Assignments to Assess Statistical Thinking Victoria Woodard, Hollylynne Lee, Roger Woodard
Promoting Classroom Engagement Through the Use of an Online Student Response System: A Mixed Methods Analysis Sam Muir, Brad Elphinstone, Loredana Tirlea, B. Elphinstone, Minh Huynh
Teaching Introductory Statistics with DataCamp Benjamin S. Baumer, Andrew P. Bray, Mine Çetinkaya-Rundel & Johanna S. Hardin
Statistics in Biopharmaceutical Research
Article Author
Statistical Issues and Recommendations for Clinical Trials Conducted During the COVID-19 Pandemic Yue Shentu, Bohdana Ratitch, Michael Hale, Norman Bohidar, Dan Meyer, R. Daniel Meyer, et al.
Machine learning for clinical trials in the era of COVID-19 Alicia Curth, James Weatherall, Stuart Bailey, Ioana Bica, William R. Zame, Hyun-Suk Lee, Cong Shen, Mihaela van der Schaar, David Wright, Frank Bretz
Causal Inference and Estimands in Clinical Trials Ilya Lipkovich, Bohdana Ratitch, Craig H. Mallinckrodt
Efficient Adaptive Designs for Clinical Trials of Interventions for COVID-19 John Whitehead, Nigel Stallard, Sarah Zohar, James Wason, Johannes Krisam, Peter K. Kimani, Thomas Jaki, et al
Assessing the Impact of COVID-19 on the Clinical Trial Objective and Analysis of Oncology Clinical Trials—Application of the Estimand Framework Evgeny Degtyarev, Michelle Casey, Godwin Yung, Oliver Sailer, Rui Tang, Jiangxiu Zhou, Jonathan Siegel, Kaspar Rufibach, Yi Liu, Yue Shentu, Feng Liu, Stefan Englert, Steven Sun
Statistics and Public Policy
Article Author
On Racial Disparities in Recent Fatal Police Shootings Lucas Mentch
Who Is My Neighbor? The Spatial Efficiency of Partisanship Nicholas Eubank, Jonathan Rodden
Quantifying Gerrymandering in North Carolina Sachet Bangia, Robert Ravier, Christy Vaughn Graves, Gregory Herschlag, Han Sung Kang, Jonathan C. Mattingly, Justin Luo
Statistical Procedures for Assessing the Need for an Affirmative Action Plan: A Reanalysis of Shea v. Kerry Weiwen Miao, Joseph L. Gastwirth, Qing Pan
The Essential Role of Empirical Validation in Legislative Redistricting Simulation Jun Kawahara, Benjamin Fifield, Ben Fifield, Kosuke Imai, Christopher T. Kenny
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