Event History Modeling: A Guide for Social Scientists / Edition 1

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More About This Textbook

Overview

Event History Modeling provides an accessible up-to-date 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. 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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Editorial Reviews

From the Publisher
"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
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Product Details

  • ISBN-13: 9780521546737
  • Publisher: Cambridge University Press
  • Publication date: 3/28/2004
  • Series: Analytical Methods for Social Research Series
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 234
  • Sales rank: 471,088
  • Product dimensions: 5.98 (w) x 8.98 (h) x 0.55 (d)

Meet the Author

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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Table of Contents

List of figures
List of tables
Preface
1 Event history and social science 1
2 The logic of event history analysis 7
3 Parametric models for single-spell duration data 21
4 The Cox proportional hazards model 47
5 Models for discrete data 69
6 Issues in model selection 85
7 Inclusion of time-varying covariates 95
8 Diagnostic methods for the event history model 119
9 Some modeling strategies for unobserved heterogeneity 141
10 Models for multiple events 155
11 The social sciences and event history 183
App Software for event history analysis 199
References 201
Index 213
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