One benefit of association membership is free online access to ASA-sponsored journals, which span subjects such as statistics applications and methodology, biopharmaceutical research, survey methodology, public policy, and statistics and data science education. 

The ASA Committee on Membership Retention and Recruitment recently collaborated with the ASA Committee on Publications and ASA staff to promote the ASA’s journals and recognize the authors of excellent papers. Committee members asked the editors of each journal to recommend approximately two papers for the Editors’ Choice Collection. Following are the papers they chose:  
 

JASA Applications

• “Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution,” Daniel Mork, Marianthi-Anna Kioumourtzoglou, Marc Weiskopf, Brent A. Coull, and Ander Wilson
• “Overcoming Repeated Testing Schedule Bias in Estimates of Disease Prevalence,” Patrick M. Schnell, Matthew Wascher, and Grzegorz A. Rempala
• “Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection,” Kes Ward, Giuseppe Dilillo, Idris Eckley, and Paul Fearnhead

JASA Theory and Methods

• “Optimal Dynamic Treatment Regimes and Partial Welfare Ordering,” Sukjin Han
• “Unveiling the Unobservable: Causal Inference on Multiple Derived Outcomes,” Yumou Qiu, Jiarui Sun, and Xiao-Hua Zhou

The American Statistician

• “Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data,” Quang Nguyen, Ronald Yurko, and Gregory J. Matthews
• “Distribution-Free Location-Scale Regression,” Sandra Siegfried, Lucas Kook, and Torsten Hothorn

Journal of Computational and Graphical Statistics

• “Structured Shrinkage Priors,” Maryclare Griffin and Peter D. Hoff
• “Fast Community Detection in Dynamic and Heterogeneous Networks,” Maoyu Zhang, Jingfei Zhang, and Wenlin Dai

Journal of Business & Economic Statistics

• “Narrative Restrictions and Proxies,” Raffaella Giacomini, Tora Kitagawa, and Matthew Read
• “Large-Scale Generalized Linear Models for Longitudinal Data with Grouped Patterns of Unobserved Heterogeneity,” Tomohiro Ando and Jushan Bai

Statistics in Biopharmaceutical Research

• “Biostatistical Considerations When Using RWD and RWE in Clinical Studies for Regulatory Purposes: A Landscape Assessment,” Mark Levenson, Weili He, Jie Chen, Yixin Fang, Douglas Faries, Benjamin A. Goldstein et al.
• “Nonproportional Hazards: An Evaluation of the MaxCombo Test in Cancer Clinical Trials,” Yuan-Li Shen, Xin Wang, Mushti Sirisha, Flora Mulkey, Jiaxi Zhou, Xin Gao, et al.

Journal of Statistics and Data Science Education

• “Integrating Data Science Ethics into an Undergraduate Major: A Case Study,” Benjamin S. Baumer, Randi L. Garcia, Albert Y. Kim, Katherine M. Kinnaird, and Miles Q. Ott
• “Creating Shared Understanding in Statistics and Data Science Collaborations,” Eric A. Vance, Jessica L. Alzen, and Heather S. Smith

Technometrics

• “PERCEPT: A New Online Change-Point Detection Method Using Topological Data Analysis,” Xiaojun Zheng, Simon Mak, Liyan Xie, and Yao Xie
• “Maximum One-Factor-at-a-Time Designs for Screening in Computer Experiments,” Qian Xiao, V. Roshan Joseph, and Douglas M. Ray

Statistics and Public Policy

• “Changes in Crime Rates During the COVID-19 Pandemic,” Mikaela Meyer, Ahmed Hassafy, Gina Lewis, Prasun Shrestha, Amelia M. Haviland
• “The Twentieth-Century Reversal: How Did the Republican States Switch to the Democrats and Vice Versa,” Andrew Gelman

Journal of Survey Statistics and Methodology

• “Preferred Reporting Items for Complex Sample Survey Analysis (PRICSSA),” Andrew B. Seidenberg, Richard P. Moser, and Brady T. West
• “Hansen Lecture 2022: The Evolution of the Use of Models in Survey Sampling,” Richard Valliant

Journal of Educational and Behavioral Statistics

• “Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation,” Benjamin Lu, Eli Ben-Michael, et al.
• “Estimating Heterogeneous Treatment Effect Within Latent Class Multilevel Models: A Bayesian Approach,” Weicong Lyu, Jee-Seon Kim, Youmi Suk, et al.

Members of the Committee on Membership Retention and Recruitment 
Will Eagan, Chair 
Yingwen Dong, Vice Chair 
Su Chen 
Ann Marie Matheny 
Sourav Santra 
Mark Ward 
John Watts 
Erin Wiley 
Cong Ye 
Amy Farris 
Kim Gilliam 
Donna LaLonde