Event History Modeling: A Guide for Social Scientists
(Part of the Analytical Methods for Social Research Series)
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Book Overview
Event History Modeling, first published in 2004, provides an accessible 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. 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.
Format:Paperback
Language:English
ISBN:0521546737
ISBN13:9780521546737
Release Date:March 2004
Publisher:Cambridge University Press
Length:234 Pages
Weight:0.70 lbs.
Dimensions:0.3" x 5.9" x 9.0"
Customer Reviews
1 rating
Fills a big void
Published by Thriftbooks.com User , 17 years ago
This is excerpted and slightly modified from a published review (Perspectives on Politics Volume 3, June 2005) I wrote of this book, which I like quite a bit and regularly recommend and assign to my political science graduate students. Event History Modeling: A Guide for Social Scientists provides a broad and in-depth introduction to duration analysis for political scientists and for social scientists in general. This book will instantly become the go-to guide for most political scientists interested in event history analysis and should become a staple on syllabi for graduate courses for years to come. The authors cover a broad range of important topics, employing a combination of mathematical detail and verbal discussion; important concepts are illustrated with examples using political science data that readers can download. For a book on statistical methods, Event History Modeling is quite readable and the authors do a commendable job of presenting a great variety of issues and making clear recommendations.
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