Cox model with interval-censored data

Survival analysis typically deals with censored data. This thesis focuses on interval- censored data, which are common in medical studies. We present regression models for analysing interval-censored data with emphasis on semiparametric models. We study the models of Finkelstein and Farrington in depth and show their use on real data. The properties of both models are explored in a simulation study.