Special Colloquium
Rui Song
North Carolina State University
Variable selection methods for dynamic treatment regimes
Abstract: Dynamic treatment regimes are a set of decision rules and each treatment decision is tailored over time according to patients’
responses to previous treatments as well as covariate history. A major challenge in deriving an optimal dynamic treatment regime arises when
an extraordinary large number of prognostic factors, such as patient's genetic information, demographic characteristics, medical history and
clinical measurements over time are available, but not all of them are necessary for making treatment decision. This makes variable selection
an emerging need in precision medicine. In this talk, I will present high-dimensional variable selection methods for deriving the optimal
dynamic treatment regimes. Theoretical properties will be discussed. Empirical performance of the proposed approaches are evaluated by
simulations and illustrated with an application to real data.
4:00 - 4:30 PM, tea time after talk at SEO 300
Monday February 4, 2019 at 3:00 PM in 636 SEO