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Event History Modeling: A Guide for Social Scientists
     

Event History Modeling: A Guide for Social Scientists

by Janet M. Box-Steffensmeier, Bradford S. Jones
 

ISBN-10: 0521837677

ISBN-13: 9780521837675

Pub. Date: 03/28/2012

Publisher: Cambridge University Press

Here is an accessible, up-to-date guide to event history analysis for researchers and advanced students in the social sciences. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Recent and critical innovations in diagnostics are discussed,

Overview

Here is an accessible, up-to-date guide to event history analysis for researchers and advanced students in the social sciences. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Recent and critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods.

Product Details

ISBN-13:
9780521837675
Publisher:
Cambridge University Press
Publication date:
03/28/2012
Series:
Analytical Methods for Social Research Series
Pages:
234
Product dimensions:
5.98(w) x 8.98(h) x 0.67(d)

Table of Contents

List of figures; List of tables; Preface; 1. Event history and political analysis; 2. The logic of event history analysis; 3. Parametric models for single-spell duration data; 4. The Cox Proportional Hazards model; 5. Models for discrete data; 6. Issues in model selection; 7. Inclusion of time-varying covariates; 8. Diagnostic methods for the event history model; 9. Some modeling strategies for unobserved heterogeneity; 10. Models for multiple events; 11. Political analysis and event history; Appendix: software for event history analysis; References; Index.

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