Social Sciences - Research, Social Sciences - Methodology, General & Miscellaneous Historiography, Demography - General & Miscellaneous
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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.Synopsis
This book provides a guide to event history analysis for researchers and advanced students in the social sciences.
Editorials
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 MethodologistBook Details
Published
March 1, 2004
Publisher
Cambridge University Press
Pages
234
Format
Paperback
ISBN
9780521546737