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

by Hans-Peter Blossfeld, Alfred Hamerle, Karl Ulrich Mayer

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.

Product Details

ISBN-13:	9780805801262
Publisher:	Taylor & Francis
Publication date:	11/01/1988
Edition description:	New Edition
Pages:	298
Product dimensions:	6.00(w) x 9.00(h) x (d)
Lexile:	1480L (what's this?)

About the Author

Hans-Peter Blossfeld, Alfred Hamerle, Karl Ulrich Mayer

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.

Editorial Reviews

"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

From the Publisher