Event History Modeling: A Guide for Social Scientists

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Cambridge University Press, Mar 29, 2004 - Political Science - 218 pages
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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.

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A must read for EHM.


Event History and Social Science
The Logic of Event History Analysis
Parametric Models for SingleSpell Duration Data
The Cox Proportional Hazards Model
Models for Discrete Data
Issues in Model Selection
Inclusion of TimeVarying Covariates
Diagnostic Methods for the Event History Model
Some Modeling Strategies for Unobserved Heterogeneity
Models for Multiple Events
The Social Sciences and Event History
Software for Event History Analysis

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About the author (2004)

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, 2002-3. Vice President and member of the Executive Committee of the Political Methodology Section of the American Political Science Association, 2003-5.

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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