GESIS Training Courses
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Scientific Coordination

Dr.
André Ernst
Tel: +49 221 4703736

Administrative Coordination

Claudia O'Donovan-Bellante
Tel: +49 621 1246-221

Introduction to Event History Analysis

About
Location:
Online via Zoom
General Topics
Course Level
Format
Software used
Duration
Language
Fees
Students: 300 €
Academics: 450 €
Commercial: 900 €
 
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Additional links
Lecturer(s): Jan Skopek

About the lecturer - Jan Skopek

Course description

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.    


Target group

Researchers working in quantitative social research, particularly, life course and social inequality research.


Learning objectives

Participants will have a solid overview to basic and recent methods of analysing of event history data. Having attended the workshop, participants will be able to organize and prepare event history data using Stata as well as to carry out their own analyses with event history methods.


Prerequisites

Participants should have basic knowledge in quantitative data analysis. Particularly, participants should be familiar with linear and logistic regression analysis. Prior knowledge on survival or event history analysis is not required.


Schedule

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