Abstracts ENAR 2013 Spring Meeting March 10–13 With IMS and Sections of ASA Orlando World Center Marriott Resort | Orlando, Florida S N O I T A T N E S E R P 1c. SEMIPARAMETRIC PROPORTIONAL RATE REGRESSION FOR THE COMPOSITE ENDPOINT R OF RECURRENT AND TERMINAL EVENTS E Lu Mao*, University of North Carolina, Chapel Hill T Danyu Lin, University of North Carolina, Chapel Hill ENAR 2013 S O Analysis of recurrent event data has received tremendous P attention in recent years. A major complication arises Spring Meeting when recurrent events are terminated by death. To assess | S the overall covariate effects, we consider the composite T endpoint of recurrent and terminal events and propose March 10 – 13 C a proportional rate model which specifies that (possibly A time-dependent) covariates have multiplicative affects TR on the marginal rate function of the composite event pro- BS cess. We derive appropriate estimators for the regression A parameters and the baseline mean function by modifying the familiar inverse probability weighting technique. We show that the estimators are consistent and asymptoti- cally normal with variances that can be consistently estimated. Simulation studies demonstrate that the proposed methods perform well in realistic situations. An application to the Community Programs for Clinical 1. POSTERS: CLINICAL TRIALS AND 1b. INTERACTIVE Q-LEARNING FOR DYNAMIC Research on AIDS (CPCRA) study is provided. STUDY DESIGN TREATMENT REGIMES Kristin A. Linn*, North Carolina State University email:
[email protected] Eric B. Laber, North Carolina State University 1a. OPTIMAL BAYESIAN ADAPTIVE TRIAL Leonard A. Stefanski, North Carolina State University OF PERSONALIZED MEDICINE IN CANCER Yifan Zhang*, Harvard University 1d.