B1029
Title: Penalized empirical likelihood method for integrating external information from heterogeneous populations
Authors: Peisong Han - Gilead Sciences (United States) [presenting]
Abstract: It is common to have access to summary information from external studies. Such information can be useful in model building for an internal study of interest and can improve parameter estimation efficiency when incorporated. However, external studies may target populations different from the internal study, in which case an incorporation of the corresponding summary information may introduce estimation bias. A method based on penalized empirical likelihood is developed that selects the external studies whose target population is the same as the internal study and simultaneously incorporates their available information into the estimation. The resulting estimator has the efficiency known to which external studies target the same population and make use of information from those studies alone.
