ABSTRACT
This chapter is dedicated about joint modeling toward analyzing the joint modeling approach. It is possible to work separately for longitudinal data and survival data. However, we will explore the joint model to handle both types of data. The Cox PH hazard model is capable of working with survival data. However, we can extend to incorporate time-dependent variables. The work is about extending the longitudinal measurement as a time-dependent covariate. A conventional approach like partial likelihood is not suitable enough in this context. Joint modeling is attempted to estimate the same parameters present in the two or more models.
