Event History Analysis : Statistical theory and Application in the Social Sciences book cover
1st Edition

Event History Analysis
Statistical theory and Application in the Social Sciences

ISBN 9781138969179
Published July 21, 2016 by Psychology Press
298 Pages

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Book Description

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.

Table of Contents

Contents: Foreword. Aim and Structure of the Book. Domains and Rationale for the Application of Event History Analysis. The Statistical Theory of Event History Analysis. Data Organization and Descriptive Methods. Semi-Parametric Regression Models: The Cox Proportional Hazards Model. Parametric Regression Models. Appendices: List of Variable Names Used in Examples. Listing of the FORTRAN Program PR3FUN Written by Trond Petersen. Listing of the FORTRAN Program for Episode Splitting Given Discrete Time-Dependent Covariates. Listing of the FORTRAN Program for Episode Splitting Given Continuous Time-Dependent Covariates. Listing of the GLIM Macros to Estimate the Weibull and Log-Logistic Models of Roger and Peacock.

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"Its greatest usefulness is probably in a course for graduate students of applied statistics....the classical standard packages remain an important tool for many analysts, who are bound to find this text very helpful as a work of reference when they set up their computations."
European Sociological Review