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2024 Stata Biostatistics and Epidemiology Virtual Symposium · 22 February
Event History Modeling: A Guide for Social Scientists
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Comment from the Stata technical group
This book provides an excellent introduction to the field of survival (duration) analysis for the social scientist. The mathematics are kept to a bare minimum, with more emphasis on the substantive issues behind the methods being demonstrated. Indeed, the authors are adept at explaining even the most complex mathematical and technical concepts through well-worded, descriptive text. Examples from the social sciences (e.g., a duration analysis of U.N. peacekeeping missions) are distributed throughout the text.
This text also provides an excellent survey of the current state of the art in survival analysis, regardless of the field of application. Beginning with the basics—hazards and survival functions, parametric models, etc.—the discussion then extends toward advanced topics, such as models for correlated data (frailty models) and models for multiple events, e.g., competing risks. We highly recommend this book to researchers who are exploring advanced topics in survival analysis for the first time, as this text does a good job of mapping out the available methods and distinguishing between alternative new methods for analyzing the same types of data. The bibliography is also quite thorough.
Table of contents
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1. Event History and Social Science
2. The Logic of Event History Analysis
3. Parametric Models for Single-Spell Duration
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. The Social Sciences and Event History
Appendix: Software for Event History Analysis
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Last updated: 16 November 2022
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