CANCELED
Department of Biostatistics Seminar/Workshop Series
Bayesian Covariate-Adjusted Response-Adaptive Design with Biomarkers for Targeted Therapies in Cancer
KyungMann Kim, PhD
Professor of Biostatistics and Statistics UW Carbone Cancer Center Director of Biostatistics
Thursday, May 26, 1:00-2:00pm, MRBIII Conference Room 1220
Pharmacogenomic biomarkers are becoming an important component of a targeted therapy as they can be used to identify patients who are more likely to benefit from treatment.
New study designs are required which can effectively evaluate both the prognosis based on pharmacogenomic biomarkers and the therapeutic intervention with targeted therapies. We propose a Bayesian response-adaptive design that utilizes individual pharmacogenomic profiles and patients' clinical outcomes as they became available during the course of the trial to assign most effective treatment to individual patients. A series of simulation studies were conducted to examine the operating characteristics of the proposed study design. The simulation studies show that the proposed Bayesian response-adaptive design identifies patients who benefit most from a targeted therapy and that there are substantial savings in the sample size requirements.