Bayesian analysis of the occurrence of myocardial infarction in the LGM framework

Abstract

The goal of this thesis is analyse the incidence rate of the first ever myocardial infarction (MI) and the survival time after the MI. The data used for this purpose is from the Troms\o{} study surveys collected in the period from 1974 to 2008. This thesis provides a general introduction to latent Gaussian models and the methodology of integrated nested Laplace approximation. Specifically, the data is analysed using Bayesian age period cohort models and cox proportional hazards models.