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.
Hans-Peter Blossfeld & Alfred Hamerle
Event History Analysis [EPUB ebook]
Statistical theory and Application in the Social Sciences
Event History Analysis [EPUB ebook]
Statistical theory and Application in the Social Sciences
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Sprache Englisch ● Format EPUB ● Seiten 298 ● ISBN 9781317785712 ● Verlag Taylor and Francis ● Erscheinungsjahr 2014 ● herunterladbar 6 mal ● Währung EUR ● ID 2952833 ● Kopierschutz Adobe DRM
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