GESIS Training Courses
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Wiss. Koordination

Alisa Remizova

Administrative Koordination

Noemi Hartung
Tel: +49 621 1246-211

Introduction to Event History Analysis

About
Veranstaltungsort:
Online via Zoom
General Topics
Course Level
Format
Software used
Duration
Language
Fees
Students: 330 €
Academics: 495 €
Commercial: 990 €
 
Keywords
 
 
Additional links
Dozent(en): Jan Skopek

Referenteninformationen - Jan Skopek

Seminarinhalt

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.


Zielgruppe

Participants will find the course useful if:
  • They are researchers working in quantitative social research, particularly, life course and social inequality research.


Lernziel

By the end of the course, participants will:
  • Have a solid overview of basic and recent methods of analyzing 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.


Voraussetzungen

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.


Zeitplan

Literaturempfehlungen