American Statistical Association
Personalized medicine is an important and active area of clinical research involving high dimensional data. In this talk, we describe some recent design and methodological developments in clinical trials for discovery and evaluation of personalized medicine, especially through the use of Sequential Multiple Assignment Randomized Trials (SMARTs). Statistical learning tools from artificial intelligence, including machine learning, reinforcement learning, Q-learning and several newer learning methods, are beginning to play increasingly important roles in these areas. We present illustrative examples of issues and approaches in treatment of cancer, cystic fibrosis and other diseases. The new approaches have significant potential to improve health and well-being.
|Date:||Wednesday, April 9, 2014|
|Time:||3:00 - 4:00 P.M.|
Memorial Sloan-Kettering Cancer Center
Department of Epidemiology and Biostatistics
307 East 63rd Street
(between First and Second Avenues)
3rd Floor Conference Room
New York, New York
Note: To gain access to the building, please follow the directions by the telephone in the foyer.