Scientific Coordination
Alisa Remizova
Administrative Coordination
Noemi Hartung
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Event History Analysis
About
Location:
Online via Zoom
Online via Zoom
General Topics
Course Level
Format
Software used
Duration
Language
Fees
Students: 330 €
Academics: 495 €
Commercial: 990 €
Keywords
Additional links
Lecturer(s): Jan Skopek, Vanessa Wittemann (Teaching Assistant)
Course description
Please note that this workshop will be held on 16 - 17 April and 23 - 24 April! Please go to the schedule for more details.
This workshop will offer a comprehensive methodological and practical introduction to event history analysis, with particular emphasis on applications in life course research and the time-dynamic modeling of social processes. We will begin by clarifying fundamental concepts such as states, time, events, and censoring, before introducing key descriptive methods, including life tables and Kaplan-Meier estimation.
The workshop will cover both continuous-time and discrete-time approaches, addressing parametric models (e.g., exponential and Weibull) and semi-parametric models such as the Cox proportional hazards model and specifications allowing for flexible duration dependence. Special attention will be given to modeling time-dependent covariates, a central feature of event history analysis.
With competing risks models for multiple event types an important extension to the standard framework will be discussed. In addition, the workshop will provide an overview of selected advanced topics such as inference in survival analysis with survey data, analysis of multi-episode and recurrent event data, multilevel models and multistate analysis, finite mixture survival models, cross-model and cross-group comparisons of effects, and effective visualization of estimation results.
Throughout, substantive examples from sociological and demographic research will illustrate methodological issues and applications. The workshop will make extensive use of the statistical software packages Stata and R. Hands-on lab sessions in both platforms (depending on participant preferences) will consolidate the material covered, and participants will be encouraged to discuss their own research.
The workshop will combine lectures with interactive lab sessions using Stata and R, with software-specific groups to accommodate participants' preferences.
Target group
You will find the course useful if you are a researcher working in quantitative social research, particularly, life course and social inequality research. The course is also relevant for researchers working in social epidemiology and health research.
Learning objectives
By the end of the course, you will:
- Have a solid overview of basic and recent methods of analyzing event history data.
- Be able to organize and prepare event history data using Stata or R as well as to carry out your own analyses with event history methods.
Prerequisites
You should have basic proficiency in either Stata or R (e.g., basic data management operations) and have at least basic knowledge of quantitative data analysis. You should be familiar with linear and logistic regression analysis. Prior knowledge of event history analysis is not required.
Software Requirements
For this workshop, you need a laptop and the statistical software Stata (Stata 17 or newer) or R. If you need Stata, please let us know the latest two weeks in advance of the course start so that we can provide you with the license.
