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Event History Modeling A Guide for Social Scientists

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ISBN-10: 0521546737

ISBN-13: 9780521546737

Edition: 2004

Authors: Janet M. Box-Steffensmeier, Bradford S. Jones, R. Michael Alvarez, Nathaniel Beck, Lawrence L. Wu

List price: $44.99
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Description:

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…    
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Book details

List price: $44.99
Copyright year: 2004
Publisher: Cambridge University Press
Publication date: 3/29/2004
Binding: Paperback
Pages: 234
Size: 5.91" wide x 9.02" long x 0.31" tall
Weight: 0.682
Language: English

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.

List of figures
List of tables
Preface
Event history and political analysis
The logic of event history analysis
Parametric models for single-spell duration data
The Cox Proportional Hazards model
Models for discrete data
Issues in model selection
Inclusion of time-varying covariates
Diagnostic methods for the event history model
Some modeling strategies for unobserved heterogeneity
Models for multiple events
Political analysis and event history
References
Index