Overview
Serving as both a student textbook and a professional reference/handbook, this volume explores the statistical methods of examining time intervals between successive state transitions or events. Examples include: survival rates of patients in medical studies, unemployment periods in economic studies, or the period of time it takes a criminal to break the law after his release in a criminological study. The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data to the specific questions of data organization, to the concrete application of available program packages and the interpretation of the obtained results.
Event History Analysis:
• makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression models based upon concrete examples
• presents the unabbreviated close relationship underlying statistical theory
• details parameter-free methods of analysis of event-history data and the possibilities of their graphical presentation
• discusses specific problems of multi-state and multi-episode models
• introduces time-varying covariates and the question of unobserved population heterogeneity
• demonstrates, through examples, how to implement hypotheses tests and how to choose the right model.