Log-Linear Models for Event Histories

Log-Linear Models for Event Histories
Author :
Publisher : SAGE Publications, Incorporated
Total Pages : 368
Release :
ISBN-13 : UCSD:31822023820871
ISBN-10 :
Rating : 4/5 ( Downloads)

Book Synopsis Log-Linear Models for Event Histories by : Jeroen K. Vermunt

Download or read book Log-Linear Models for Event Histories written by Jeroen K. Vermunt and published by SAGE Publications, Incorporated. This book was released on 1997-05-13 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Event history analysis has been a useful method in the social sciences for studying the processes of social change. However, a main difficulty in using this technique is to observe all relevant explanatory variables without missing any variables. This book presents a general approach to missing data problems in event history analysis which is based on the similarities between log-linear models, hazard models and event history models. It begins with a discussion of log-rate models, modified path models and methods for obtaining maximum likelihood estimates of the parameters of log-linear models. The author then shows how to incorporate variables with missing information in log-linear models - including latent class models, m


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