American Statistical Association
This talk will explore ways to combine historical and randomized controls with the goal of justifying unbalanced randomization (smaller controls arms) in Phase II trials. The methodology relies on a power parameter that controls the relative weight of historical controls. This parameter is updated as data accumulate, depending on how similar the randomized and historical controls are. Simulation studies with a binary endpoint indicate that the method strikes a balance between single-arm and 1:1 randomized trials. Adaptive randomization can be used to improve efficiency with binary endpoints but its utility will be limited with time-to-event endpoints which are becoming increasingly popular. SAS and R code are available for trial-based simulations.
|Date:||Wednesday, November 10, 2010|
|Time:||4:00 - 5:00 P.M.|
Memorial Sloan-Kettering Cancer Center
Department of Epidemiology and Biostatistics
307 East 63rd Street
(between First and Second Avenues)
New York, New York
Note: To gain access to the building, please follow the directions by the telephone in the foyer.