Bayesian Adaptive Randomization for the I-SPY 2 SMART

Marie Davidian Co-Author
North Carolina State University
 
Christina Yau Co-Author
UCSF
 
Anastasios Tsiatis Co-Author
North Carolina State Univ
 
Denise Wolf Co-Author
UCSF
 
Peter Norwood First Author
 
Peter Norwood Presenting Author
 
Monday, Aug 5: 8:35 AM - 8:50 AM
3339 
Contributed Papers 
Oregon Convention Center 
The I-SPY 2 sequential multiple assignment randomized trial (SMART) is designed to identify optimal treatment regimes for breast cancer. This design has three stages meant to mimic the decision-making process for sequential treatment. Subjects begin the trial with a first stage randomization to available arms. If interim information on the tumor looks promising, they can go to surgery after the first stage and their pathological complete response (pCR) status is assessed. Otherwise, they proceed to a second stage of randomization. If they do not go to surgery at the second stage, they receive a third stage of treatment then go to surgery. Due to many possible treatment regimes and the desire to improve outcomes in the trial, response-adaptive randomization provides potential statistical and ethical benefits over uniform randomization. We present a Bayesian adaptive randomization scheme known as Thompson sampling that randomizes subjects to arms based on the posterior probability that they maximize the chance of a pCR. Simulation studies show our method improves in-trial pCR rates and identifies optimal regimes at similar rates as uniform randomization.

Keywords

SMART

adaptive randomization

clinical trials

precision medicine

sequential decision making

multi-armed bandits 

Main Sponsor

Biometrics Section