Biostatistician Jewell to co-edit premiere statistical science journal

Nicholas P. Jewell, professor of biostatistics and statistics at the UC Berkeley School of Public Health, was recently selected as a co-editor of the Journal of American Statistical Association Theory and Methods section.  The journal is one of the professional journals of the American Statistical Association (ASA), and the editors are chosen by the ASA Board of Directors.

Jewell has expertise in statistical methods related to infectious diseases, biostatistical techniques in epidemiological data analysis, survival analysis and stochastic processes, and genomics. He is a fellow of the ASA, the Institute of Mathematical Statistics, and the American Association for the Advancement of Sciences. He has served as an editor or co-editor of other journals, including The American Statistician and Statistical Science.

David Ruppert, professor of operations research and information engineering and professor of statistical science at Cornell University, was also selected as a co-editor.

“It is a great honor and responsibility to serve as co-editors of the Theory and Methods section of the Journal of the American Statistical Association, arguably the premier statistical journal in the world,” said Jewell and Ruppert in a joint statement. “Our primary task will be to maintain the very high standards of mathematical and statistical rigor associated with high-quality research. In addition, we expect that the journal will evolve in light of the extraordinary surge of interest in statistical methods in all fields and the growing abundance and complexity of data.”

Jewell will serve a three-year term beginning in 2015 after a one-year transition period.

Established in 1888 and published four times annually, the Journal of the American Statistical Association is the premier journal of statistical science. Articles focus on statistical applications, theory and methods in economic, social, physical, engineering and health sciences. Important books contributing to statistical advancement also are reviewed.

By Linda Anderberg