About Us
CHANCE is copublished quarterly by the American Statistical Association and Springer Science + Business Media, LLC. The magazine is designed for anyone who has an interest in the analysis of data, informally highlighting sound statistical practice. CHANCE is not a technical magazine, but rather a cultural record of an evolving field, intended to entertain as well as inform.
Since its creation in 1988, CHANCE has covered such topics as the 1990 census adjustment and the redesigned population survey, sports, the environment, DNA evidence in the courts, a variety of medical issues—even how to win on "Jeopardy." CHANCE offers a unique opportunity to reach beyond statistics professionals to a more general audience.
Executive Editor
Michael Larsen earned his PhD in statistics from Harvard University and is associate professor of statistics at George Washington University in Washington, DC. He has been on the faculty at Iowa State University and The University of Chicago and worked as a consultant with the U.S. Census Bureau, the U.S. National Center for Health Statistics, NORC, and the Gallup Organization, Inc. His research interests include survey sampling, missing data, record linkage, statistical modeling, applied statistics, and statistics education.
Advisory Editors
Dalene Stangl is professor of the practice of statistics and public policy and associate chair of the Department of Statistical Science at Duke University in North Carolina. She is reviews editor of the Journal of the American Statistical Association and The American Statistician and has co-authored more than 100 articles in statistics, as well as contributed substantive research to journals in medicine and health policy. Her professional interests are hierarchical models, meta-analysis, decision analysis, and the reform of statistical education and statistical practice.
Michael Lavine, UMass-Amherst
Hal S. Stern, University of California, Irvine
Editors
Michelle Dunn is a program director for statistical methodology grants at the National Cancer Institute. She did her undergraduate studies in applied mathematics at Harvard and earned her PhD in statistics from Carnegie Mellon University, working with Jay Kadane on the detection of anomalies in web traffic. If she had free time, Dunn would enjoy cooking, sailing, and traveling around the world.
Andrew Gelman is a professor of statistics and political science and director of the Applied Statistics Center at Columbia University. He has received many awards, including the Outstanding Statistical Application Award from the American Statistical Association and the award for best article published in the American Political Science Review. He has coauthored many books; his most recent is Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do.
Jo Hardin is an associate professor at Pomona College in Claremont, California. Her research interests include outlier detection, clustering, and robust methods, particularly applied to large data sets. Recently, she has worked on microarray data, creating similarity measures for determining coexpression of genes. Outside of work, she enjoys reading, running, and breeding tortoises.
Yulei He is an assistant professor of health care policy, with a specialty in biostatistics, in the department of health care policy at Harvard Medical School. His research focuses on the development and application of statistical methods for health services and policy research.
Nicholas Horton is an associate professor of mathematics and statistics at Smith College in Northampton, Massachusetts. His research interests are in longitudinal regression models and missing data methods, with applications in psychiatric epidemiology and substance abuse research. Horton's group at Smith is also the home of the statistics haiku project.
Mary Meyer is originally from Chicago and earned her PhD from the University of Michigan. She is currently associate professor of statistics at Colorado State University at Fort Collins. Her research interests are in nonparametric function estimation and inference methods using shape restrictions.
Jackie Miller is a statistics education specialist at The Ohio State University.
Kary Myers earned her degrees from Carnegie Mellon University while working on projects ranging from galaxy clusters to speech recognition to neuroimaging. As a scientist at Los Alamos National Laboratory, she applies statistical and machine learning techniques to time series data in the context of remote sensing (not to be confused with remote viewing).
Samuel Kou, Harvard University, Cambridge, Massachusetts
Duane Steffey, Exponent Inc., Menlo Park, California
Column Editors
Mark E. Glickman, who writes Here's to Your Health, is associate professor in the Health Policy and Management Department at the Boston University School of Public Health. He is also senior statistician at the Center for Health Quality, Outcomes and Economics Research, a Veterans Administration Center of Excellence. Much of Glickman's work is collaborative with health services researchers on a variety of public health topics.
Jonathan Berkowitz, who writes Goodness of Wit Test, is a consulting statistician and president of Berkowitz & Associates Consulting, Inc. He is also a clinical associate professor in the Department of Family Practice and adjunct professor with the Sauder School of Business, both at the University of British Columbia, Canada. Berkowitz has co-written and edited many peer-reviewed journal articles, technical papers, and study reports and helped more than 100 graduate students complete their degrees. He is an active member of the National Puzzlers' League.
Howard Wainer, who writes Visual Revelations, is currently distinguished research scientist at the National Board of Medical Examiners and professor of statistics at the Wharton School, University of Pennsylvania. He has won numerous awards and is a Fellow of the American Statistical Association and the American Educational Research Association. His interests include the use of graphical methods for data analysis and communication, robust statistical methodology, and the development and application of generalizations of item response theory. He has published many books; his latest is The Second Watch: Navigating an Uncertain World.
Phil Everson, A Statistician Reads the Sports Pages, Swarthmore College, Swarthmore, Pennsylvania