Event History Analysis: Statistical Theory and Application in the Social Sciences

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L. Erlbaum Associates, 1989 - Psychology - 297 pages
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.

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Contents

Aim and Structure of the Book
11
The Statistical Theory of Event History Analysis
26
Data Organization and Descriptive Methods
109
Copyright

4 other sections not shown

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About the author (1989)

Karl Ulrich Mayer is Professor and Chair of Sociology at Yale University and Co-Director of the Center for Research on Inequalities and the Life Course (CIQLE). He is co-editor of After the Fall of the Wall: Life Courses in the Transformation of East Germany and The Berlin Aging Study: From 70 to 100 (Cambridge University Press).

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