Log-Linear Models for Event Histories

By Jeroen K. Vermunt

Book Overview

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

• Format: Hardcover
• Language: English
• ISBN: 0761909370
• ISBN13: 9780761909378
• Release Date: May 1997
• Publisher: Sage Publications, Inc
• Length: 360 Pages
• Weight: 1.50 lbs.
• Dimensions: 1.3" x 6.2" x 9.1"