Models

AY2016/2017 Semester 2

The course aims to teach students about the fundamental principles and applications of survival models and how to model the behaviour of stochastic processes. Topics covered include introduction to stochastic process, Markov chains and its applications, multiple state models, Markov jump process, survival models, life tables, Kaplan-Meier and Nelson-Aalen estimators, Cox model, binomial and Poisson models, graduation, and statistical tests.