Donald A. Berry, Ph.D.

1971, Yale University

UT M. D. Anderson Cancer Center
Biostatistics and Applied Mathematics

Research Interests: Theory and applications of Bayesian statistics, particularly sequential design of experiments; design and analysis of clinical trials; statistical genetics; medical decision making

One of the focuses of my research is designing clinical trials that more efficiently use patient resources than those currently in use. The goals are to treat patients more effectively and to identify promising therapies more rapidly. An example is allowing many drugs to be used in the same trial, with accumulating data dictating the therapy used on the next patient. Another focus is models for genetics of cancer. Another focus is building epidemiological models for cancer mortality with the goal of identifying and evaluating effective interventions.

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Berry DA, Mueller P, Grieve AP, Smith M, Parke T, Blazek R, Mitchard N, Krams M (2000) Adaptive Bayesian designs to dose-ranging drug trials. In Case Studies in Bayesian Statistics V (in press)

Berry DA, Broadwater G, Klein JP, Antman K, Aisner J, Bitran J, Costanza M, Freytes CO, Gale RP, Henderson IC, Lazarus HM, McCarthy PL, Norton L, Parnes H, Pecora A, Perry MC, Rowlings P, Spitzer G, Horowitz MM (2000) High-dose vs standard chemotherapy in metastatic breast cancer: Comparison of cancer and leukemia group B trials with data from the autologous blood and marrow transplant registry (submitted)

Berry DA, Muss H, Dressler L, Thor AD, Dressler L, Liu ET, Broadwater G, Budman DR, Henderson IC, Marcos M, Hayes D, Norton M (2000) Her-2/neu and p53 expression vs tamoxifen resistance in estrogen-receptor-positive node-positive breast cancer. J Clin Onc (in press)

Program Affiliation:
Program in Biomathematics and Biostatistics