JSM 2015 The Statistics in Epidemiology Section is pleased to offer a short course on the joint modeling of longitudinal and survival data, taught by Joseph G.
Ibrahim, on Monday August 10 from 8:30am to 5pm. For registration and pricing, please check the JSM 2015 website.
This short course will examine in depth statistical methods for joint modeling of longitudinal and survival data. Both frequentist and Bayesian approaches will be
discussed. The types of joint models that will be discussed are trajectory models and shared parameter models. Both linear mixed models as well as generalized linear mixed models will be discussed for the longitudinal models and Cox-type as well as cure rate models will be discussed for the survival component. Both univariate and multivariate survival models will be discussed as well as multivariate longitudinal models. Several types of applications will also be discussed including ones in cancer and AIDS research. Missing data issues will also be examined, and SAS software for fitting joint models will be illustrated.
Dr. Ibrahim is the Alumni Distinguished Professor of Biostatistics at the University of North Carolina Gillings School of Global Public Health. He has published over 260 research papers, most of which are in the top statistical journals. He has written two books at the advanced graduate level on Bayesian survival analysis and Monte Carlo methods in Bayesian computation. He is a fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS), and an elected member of the International Statistical Institute (ISI).