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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Hans-Peter Blossfeld, Alfred Hamerle, Karl Ulrich Mayer
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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