Joint models for longitudinal and survival dataApply
Joint models are essential is most biomedical applications due to their ability to model two data types simultaneously. In this project, the aim istodevelop vignettes for the implementation of joint models within theR-INLAframework. The prospective candidate would gain coding skills in R and potentially develop new statistical methodologies to handle real-world phenomena within the context of joint models.
Program - Statistics
Division - Computer, Electrical and Mathematical Sciences and Engineering
Faculty Lab Link - https://cemse.kaust.edu.sa/bayescomp
Field of Study - Statistics
Desired Project Deliverables
Vignettes for the implementation of joint models within the R-INLA framework