Dynamic Treatment Regimes and Personalized Medicine
The emerging field of personalized medicine has gained prominence in the scientific community. It aims to improve healthcare quality through tailoring treatment by considering patient heterogeneity. Dynamic treatment regimes (DTRs) formalize personalized health care in sequential decision rules, one per stage, mapping patient-specific information to a recommended treatment. By individualizing health care based on a patient's specific characteristics, the optimal DTRs can serve as a vehicle to operationalize evidence-based precision medicine, and are especially valuable in chronic disease management. Topics include new statistical learning methods to evaluate the optimal DTR, estimation of the individualized health policy and DTRs, optimal dosing strategies, design and analysis of Sequential Multiple Assignment Randomized Trials (SMART trials).