Jo Hardin and Jack Miller ask that academics and practitioners be aware and think about gender issues when defining and/or categorizing variables.
A Statistician's View
A Wake-Up Call to Statistical Consultants
Jonathan Shuster and Chris Delcher recommend new procedures for consultants, their institutions, and The ASA to follow to help maintain high integrity for statistical science.
Ambiguity: The Biggest Challenge Lies Ahead
George Cobb discusses what thoughtful statisticians know: Inference from data cannot be reduced to rules.
The Commutative Property Is Neither Necessary nor Sufficient: It’s Time to Consider Implementing Distance PhD Programs
Seth T. Lirette, an assistant professor in the department of data science at the University of Mississippi Medical Center, proposes it is time to loosen the reigns on the residential requirement for admission to PhD programs.
Who Is the American Statistician? Or, Is It Data Scientist?
Michael Latta discusses how data scientists and statisticians can coexist, work to advance methods of understanding data, and perhaps practice science together.
Economics, Statistics, and Ethical Guidelines
Robert Parker writes about the article “Advocating for Ethical Guidelines Strengthens Statisticians, Data Analysts,” while Rochelle Tractenberg and George DeMartino respond.
Data Science: The Evolution or the Extinction of Statistics?
Data science is the full-length mirror statisticians need to hold up in front of their discipline for a long time so they can examine how the field looks from multiple angles.
The Identity of Statistics in Data Science
Within the statistics community, there is a debate about whether data science and statistics are distinct disciplines. This conversation about data science betrays an anxiety about our (statisticians’) identity.
In Praise of ASA Membership
Jay Devore, professor emeritus of statistics at California Polytechnic State University, writes this month about the value of membership in the American Statistical Association.
Comment on ‘Statistics as a Science, not an Art: The Way to Survive in Data Science’
Murray Aitkin responded to Mark van der Laan’s piece, “Statistics as a Science, Not an Art: The Way to Survive in Data Science.” He agrees with van der Laan’s first issue—the role of consulting statisticians—but cites a different view on the role of statistical theory in the kinds of analysis statisticians use.