Events and Seminars : Upcoming Seminars

STATISTICAL METHODS FOR COMPARING DYNAMIC TREATMENT REGIMES WITH TIME-TO-EVENT ENDPOINTS

ABDUS S. WAHED, PH.D.
Associate Professor of Biostatistics
Graduate School of Public Health
University of Pittsburgh
TUESDAY, FEBRUARY 16, 2016
11:00 a.m.–12:00 p.m., CRB 692

Dynamic treatment regimes (aka adaptive treatment strategies) are individually tailored treatments, with treatment type and/or dosage changing according to patient’s intermediate response at different stages of therapy.Availability of multiple treatment options at each stage and possibility of variable intermediate responses to these treatments may result in many different dynamic treatment regimes. Sequential multiple assignment randomization trials (SMARTs) are often used to study different dynamic treatment regimes in the treatment of cancer, leukemia, depression, and AIDS. Frequently the goal is to compare multiple treatment regimes based on time-to-event outcome such as overall survival. In this talk we will discuss some parametric and semi-parametric methods to compare two-stage dynamic treatment regimes based on time-to-event data collected from SMART design. Application of these methods will be demonstrated by applying to a leukemia dataset.