Joint models for longitudinal and survival data

Joint models for longitudinal and survival data

Internship Description

Joint models are essential is most biomedical applications due to their ability to model two data types simultaneously. In this project, the aim is to develop vignettes for the implementation of joint models within the R-INLA framework. 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.​

Deliverables/Expectations

Vignettes for the implementation of joint models within the R-INLA framework​

Faculty Name

Haavard Rue

Field of Study

Statistics