作者：Wang, Fei; Wang, Lu; Song, Peter X. -K.
作者单位：University of Michigan System; University of Michigan
摘要：Merging data from multiple studies has been widely adopted in biomedical research. In this paper, we consider two major issues related to merging longitudinal datasets. We first develop a rigorous hypothesis testing procedure to assess the validity of data merging, and then propose a flexible joint estimation procedure that enables us to analyse merged data and to account for different within-subject correlations and follow-up schedules in different studies. We establish large sample propertie...
