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Dalene K. Stangl

1 March 2018 1,021 views No Comment

Photo by Duke Photography

Teaching Professor, Carnegie Mellon University

Educational Background
Carnegie Mellon: PhD, Statistics (1991); MS, Statistics (1988)
University of Iowa: MS, Sociology (1980)
Iowa State: BS, Psychology and Sociology (1978)

About Dalene
Dalene Stangl is a faculty member in the department of statistics and data science at Carnegie Mellon University. Prior to joining CMU, she spent 25 years at Duke University, first in the Medical Center and then in the Institute of Statistics and Decision Sciences that transitioned into the department of statistical science under her leadership as director (2002/07). Dalene’s professional focus is Bayesian methods and statistical education. She co-edited two books on Bayesian methods, Bayesian Biostatistics (1996) and Meta-Analysis in Medicine and Health Policy (2000).

Dalene served as chair of the Section on Bayesian Statistical Science (2006) and editor for Bayesian Analysis (2003/07). Her connection with the ASA reaches far beyond the Bayesian Section, however, and includes winning the Youden Award (1996), being elected a Fellow (2002), garnering four strategic initiative awards (including one that kick-started the conference Celebrating Women in Statistics and Data Science), serving as reviews editor for the Journal of the American Statistical Association and The American Statistician (2008-10), serving as executive editor of CHANCE magazine (2003/07), and serving as chair of the Committee on Women in Statistics (2010/2016). She has published more than 100 articles and given more than 150 professional talks. Dalene is the recipient of Duke University’s Trinity College Distinguished Teaching Award and currently co-edits the CHANCE column, “Taking a Chance in the Classroom.”

Dalene was born and raised on a farm in southwest Iowa. As a first-generation college student, she studied psychology and sociology at Iowa State University, continuing on for a master’s in sociology at the University of Iowa. It was through the study of social sciences that she became interested in statistical analysis and research methods. And it was her research in the area of mental health that convinced her to pursue a PhD in statistics.

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