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Donald A. Berry, Ph.D.
Ph.D. (1971) Statistics, Yale University
Research areas:
A mathematical statistician by training, Dr. Berry's research has dealt with the theory and applications of statistics, especially Bayesian statistics, and particularly that dealing with the sequential design of experiments. His recent research has focused on the design and analysis of clinical trials and developing models in statistical genetics, modeling the relevant benefits of interventions and treatment, and medical decision making. His principal area of application is cancer. Dr. Berry led a project as part of a SPORE in breast cancer at Duke University which resulted in the computer program BRCAPRO for finding the probability that an individual carries a mutation at a cancer susceptibility gene on the basis of family history. He is currently the leader of a project in the Cancer Intervention and Surveillance Network (CISNET), in which the goal is to ascribe relative contributions of the recent drop in breast cancer mortality in the U. S. to screening mammography and improved therapy. Dr. Berry is the faculty statistician on the Breast Cancer Committee of the Cancer and Leukemia Group B. In this role he directs a group of statisticians responsible for designing and analyzing all breast cancer clinical trials for this oncology group. Among his achievements is introducing innovative designs to national breast cancer trials. In addition, his analysis showed that overexpression of biomarkers HER-2/neu and p53 interact with anthracycline-based chemotherapy (but not hormonal therapy) in node-positive breast cancer. This observation has profound implications for the treatment of this disease.
Dr. Berry has conducted Bayesian meta-analyses (using Markov chain Monte Carlo methods) of the benefits of
mammography for women aged 40-49. He has also developed decision-analytic and cost-effectiveness models
in the areas of genetic testing and axillary node dissection for primary breast cancer.
A native of Massachusetts, Dr. Berry received a Ph.D. in statistics from Yale University, and previously
served on the faculty at the University of Minnesota and at Duke University, where he held the Edger Thompson
Professorship in the College of Arts and Sciences. Dr. Berry has supervised 23 Ph.D. dissertations in theoretical
computational methods for adaptive experimental designs and related areas at the University of Minnesota
and at Duke University.
The author of more than 160 published articles as well as several books on biostatistics in medical research,
Dr. Berry has been the principal investigator for numerous medical research programs funded by the National
Cancer Institute and the National Science Foundation. He is a statistics editor for the Journal of the National
Cancer Institute and associate editor for Breast Cancer Research and Treatment. Dr. Berry is an elected
member of the International Statistical Institute, and is a Fellow of the American Statistical Association
and of the Institute of Mathematical Sciences.
Sequential Statistical Methods, November 2000
St. Jude April 1998
DIA Hilton Head 1998
Statistics: A Bayesian Perspective by Donald A. Berry is published by Duxbury Press, ISBN number 0-534-23472-0. If you want to entertain its use as a text for a course you can receive an examination copy by emailing to review@wadsworth.com, faxing to 415-592-9081, or calling 800-423-0563. Using a Bayesian Approach in Medical Device Development
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