Speaker:
Dr. Karen Kopciuk & Qinggang Wang
Title:
Joint Models with an application from the Prostate Cancer Cohort Study
Abstract:
It is frequent in longitudinal studies to collect both repeated measures of a longitudinal marker and the time to an event of interest. In such studies, the conventional statistical modelling approach has serious limitations to handle; then, what to do? Joint Modelling has become a very valuable tool in the analysis of such follow-up data, which commonly links two sub-models: longitudinal repeated measure model and survival model via a shared latent structure. Dr. Karen Kopciuk and Qinggang Wang will provide you with the background and methodology parts of this new approach, with an application example from Dr. Christine Friedenreich’s Prostate Cancer Cohort Study.