Prof. Dorota Dabrowska (UCLA Biostatistics Department)

Title: Estimation in censored modulated renewal processes

Abstract: Semi-Markov and modulated renewal processes provide a large class of multi-state models which can be used for analysis of longitudinal failure time data. In biomedical applications, models of this kind are often used to describe evolution of a disease and assume that patient may move among a finite number of states representing different phases in the disease progression. Several authors proposed extensions of the proportional hazard model for regression analysis of these processes. In this talk, I will consider estimation a class of censored semi-Markov and modulated renewal processes derived from alternate ransformation models and Aalen's additive regression model.