Event history modeling: a guide for social scientists

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 proble...

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Bibliographic Details
Main Authors: Box-Steffensmeier, Janet M. 1965- (Author), Jones, Bradford S. 1965- (Author)
Format: Electronic eBook
Language:English
Published: Cambridge Cambridge University Press 2004
Series:Analytical methods for social research
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Online Access:BSB01
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Summary: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
Item Description:Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Physical Description:1 online resource (xiii, 218 Seiten) Diagramme
ISBN:9780511790874
DOI:10.1017/CBO9780511790874

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