This book provides a systematic introduction to models, methods and applications of event history analysis. Yamaguchi emphasizes 'hands on' information, including the use and misuse of samples, models and covariates in applications, the structural arrangement of input data, the specification of various models in such computer programs as SAS-LOGIST and SPSSX-LOGLINEAR, and the interpretation of parameters estimated from models. The book also explores such significant topics as missing data, hazard rate, Cox's partial likelihood model, survivor function, and discrete-time logit models.
About the Author
Professor Yamaguchi is interested in statistical models for social data and mathematical models for social phenomena, the life course, rational choice, exchange networks, stratification and mobility, demography for family and employment, process of drug use progression. His current research focuses on models of exchange networks and women's occupational careers in Japanese society.
Table of Contents
Introduction What is Event History Analysis?Discrete Time-Logit Model The Analysis of One-Way TransitionDiscrete Time-Logit Model The Analysis of Two-Way TransitionsLog-Rate Models for Piecewise Constant RatesContinuous-Time Models with Cox's Method Proportional Hazards Models, Non-Proportional Hazards Models, and Stratified ModelsContinuous-Time Models with Cox's Method Use of Time-Dependent Covariates and Related IssuesFinal Remarks Before Getting One's Own Research Started