This course is an introduction to theory and applications of event-history analysis. Duration data is commonly used to address many research questions in demography, social sciences, and epidemiology.
Blossfeld, H., K. Golsch, and G. Rohwer. 2007. Event History Analysis with Stata. Mahwah, NJ: Lawrence Erlbaum.
Obiettivi Formativi
This course covers univariate and multivariate (regression) methods for analysis of duration (event-history) data, including their recent developments. Students also learn data management skills that are specific to conducting event-history analysis in Stata.
Prerequisiti
Statistical Infecerence
Metodi Didattici
Throughout the course students will apply event-history techniques to own research projects.
Modalità di verifica apprendimento
Written exam concerning all material of the exam. It icludes both exercises in STATA and questions on theory.
Programma del corso
Introduction (Basic concepts and definitions, Event history data, censoring and truncation, discrete vs. continuous time); Event history data (Coding and data preparation, Life tables, Kaplan-Meier, related estimators, Stata applications, time-constant and time-varying variables); Non-parametric models (Exponential and piece-wise constant models); Modelling-related issues (Interactions and combinations of variables; model choice and goodness of fit); Parametric models (Weibull, Gompertz, Log-Logistic, Log-Normal); Cox model (Estimation, interpretation of parameters and model diagnostics, PH assumption); Competing risk models (Data preparation, estimation and interpretation); Advanced topics (Discrete time models, frailty models – unobserved heterogeneity, multiprocess and multilevel extensions of event history models)