Richard D. Gelber, PhD

Dana-Farber Cancer Institute

Academic Titles

Professor, Pediatrics, Harvard Medical School

Professor, Biostatistics, Harvard T.H. Chan School Of Public Health

Research Program Affiliation

Member, Breast Cancer

Member, Cancer Data Sciences

Research Abstract

Dr. Gelber is the co-developer of two statistical methodologies designed to enhance interpretation of clinical trial data. The Quality-adjusted Time Without Symptoms of disease or Toxicity of treatment method (Q-TWiST) incorporates quality-of-life considerations into treatment comparisons, while the Subpopulation Treatment Effect Pattern Plots (STEPP) facilitates the interpretation of treatment effects derived from different patient subpopulations. Dr. Gelber's research interests include the design, conduct, analysis and reporting of large scale international randomized clinical trials evaluating treatments for breast cancer. He is a senior statistician for the International Breast Cancer Study Group (IBCSG) and the Breast International Group (BIG).