ABSTRACT
Longitudinal data consist of repeated outcome measurements from the same subjects over time and are frequently collected in medical and social science studies along with time to event data from the subjects. This chapter introduces some methods for a joint analysis of longitudinal data and survival data when some subjects are cured and thus a cured fraction has to be properly taken into account in the joint analysis. It introduces examples of longitudinal data and survival data from the same group of study subjects and notations. The chapter discusses a shared random effects approach to jointly model longitudinal continuous and proportional data and survival data with a cured fraction. It presents another approach for the joint model by including the trajectory of the longitudinal model in the cure model for survival data.
