Please note that this workshop will be held on 05 - 06 December and 12 - 13 December! Please go to the schedule for more details.  

The workshop will provide a comprehensive methodological and practical introduction to event history analysis. Special attention will be devoted to applications in life course research being concerned with time-dynamic modeling of social processes. After clarifying basic concepts like states, time, event, and censoring, descriptive approaches like life-tables and Kaplan-Meier estimation are discussed. Both continuous-time and discrete-time methods as well as parametric and semi-parametric regression models are introduced. Accounting for time-dependent covariates and time-varying effects are major features of survival models and will be discussed in detail. In addition, the workshop will cover a series of advanced topics like statistical inference with survival methods and survey data, multi-episode data, competing risk models, multilevel survival analysis, comparison of effects across models and groups, as well as effective visualization of model results. Substantive applications from sociological and demographic research will be used for illustration. Moreover, the software package Stata will be used throughout the workshop and hands-on exercises will help to deepen the acquired knowledge. Moreover, participants are encouraged to discuss their own work.