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E-raamat: Event History Modeling: A Guide for Social Scientists

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(Ohio State University), (University of Arizona)
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Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. 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. 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.

Arvustused

"Box-Steffensmeier and Jones have written a highly accessible and incredibly thoughtful introduction to survival analysis for the social scientist. I find Event History Modeling to be well suited for adoption both as a graduate and self study test. Highly recommended." --Tze Kwang Teo, University of Illinois at Urbana-Champaign, The Political Methodologist

Muu info

This 2004 book provides a guide to event history analysis for researchers and advanced students in the social sciences.
1. List of figures
2. List of tables
3. Preface
4. Event history and political analysis
5. The logic of event history analysis
6. Parametric models for single-spell duration data
7. The Cox Proportional Hazards model
8. Models for discrete data
9. Issues in model selection
10. Inclusion of time-varying covariates
11. Diagnostic methods for the event history model
12. Some modeling strategies for unobserved heterogeneity
13. Models for multiple events
14. Political analysis and event history
15. References
16. Index.


Janet Box-Steffensmeier is Vernal Riffe Professor of Political Science at Ohio State University. Chair of the R. H. Durr Award Committee for the best paper applying quantitative methods to a substantive issue that was presented at the 2002 Annual Meeting of the Midwest Political Science Association, 20023. Vice President and member of the Executive Committee of the Political Methodology Section of the American Political Science Association, 20035. Bradford S. Jones is an Associate Professor of Political Science at the University of Arizona. He has served as a Section Officer for the Society for Political Methodology as well as serving as a guest editor for a special issue of Political Analysis on causal inference. His research on methodology includes work on reliability analysis, duration modeling, and models for categorical data. Professor Jones received his Ph.D. from the State University of New York at Stony Brook. Apart from methodology, Professor Jones' research interests include racial and ethnic politics, public opinion, and representation.
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