Methods for the combined analysis of survival time and longitudinal data are reviewed and illustrated. `Joint modelling', as the topic has become known, integrates methods developed to handle dropout in longitudinal trials with techniques developed for survival data analysis with intermittent time-dependent covariates subject to measurement error. The talk will cover quick and simple exploratory methods, modelling strategies and their limitations, estimation and diagnostics.