Separate and Joint Analysis of Longitudinal and Survival Data Separate and Joint Analysis of Longitudinal and Survival Data
Our project emphasizes the usage of Bayesian Hierarchical Models and Win-BUGS to jointly model the survival data and the longitudinal data---mass. The results of the joint analysis indicate that the use of ultrasound and water-soluble microcapsules have no negative effect on survival. In fact, there appears to be a positive effect on the survival since the rats in the ultrasound-capsule group had higher survival rates than the rats in other treatment groups. From these results, it does appear that the new technology involving ultrasound waves and microcapsules is a promising way to reduce the side-effects of chemotherapy.
It is strongly advocated that the formulation of a joint model for any longitudinal and survival data be performed. For future work for the ultrasound-microcapsule data it is recommended that joint modeling of the mass, tumor volume, and survival data be conducted to obtain additional information.
School:Brigham Young University
School Location:USA - Utah
Source Type:Master's Thesis
Keywords:bayesian hierarchical models longitudinal survival joint modeling of and data mixed model sas winbugs
Date of Publication:12/18/2006