In 2016, the Journal of the American Statistical Association Applications and Case Studies introduced a reproducibility initiative to address the lack of standardized practices for reproducibility in scientific research. This initiative established minimum criteria for the inclusion of code, data, and workflow for JASA Applications and Case Studies papers and piloted a new editorial role—associate editor of reproducibility—to implement these standards. This initiative has since expanded to all original research manuscripts published in the journal.

The inaugural JASA Reproducibility Award recognizes papers that demonstrate excellence in implementing reproducible analyses, generating open data sets and software, and developing end-to-end workflows.

The May issue of The American Statistician is devoted to a celebration of the ASA’s 175th anniversary.

The September issue of the Journal of the American Statistical Association covers application topics ranging from models for text analysis to imaging genetics. Theory and Methods contributions include new statistical methods for longitudinal data, transformation models, mixture models, partial differential equation models, machine learning, and much more.

Read highlights of articles featured in the December issue of the Journal of the American Statistical Association.

Hal Stern, JASA applications and case studies and coordinating editor, discusses the latest highlights from the Journal of the American Statistical Association.

Here are the highlights of the June issue of the Journal of the American Statistical Association.

The March 2012 issue of the Journal of the American Statistical Association is the first for new Theory and Methods section editors Xuming He of the University of Michigan and Jun Liu of Harvard University. Their first issue contains the usual broad assortment of theory and methods contributions, affecting both study design and data analysis. The Applications and Case Studies section includes applications in education, environmental science, medicine, and public health.

Here are the highlights of the December issue of the Journal of the American Statistical Association.

The September issue of JASA features two articles presented and discussed at the 2011 Joint Statistical Meetings: “Adaptive Confidence Intervals for the Test Error in Classification,” by Eric Laber and Susan Murphy, and “Population Value Decomposition: A Framework for the Analysis of Image Populations,” by Ciprian Crainceanu, Brian Caffo, Sheng Luo, Vadim Zipunnkkov, and Naresh Punjabi.