
Event History Analysis
Statistical theory and Application in the Social Sciences
Psychology Press Ltd
1st Edition
Published on 21. July 2016
Book
Paperback/Softback
298 pages
978-1-138-96917-9 (ISBN)
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.
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.
Reviews / Votes
"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
More details
Language
English
Place of publication
Hove
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Dimensions
Height: 229 mm
Width: 152 mm
Weight
550 gr
ISBN-13
978-1-138-96917-9 (9781138969179)
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Schweitzer Classification
Other editions
Additional editions

Hans-Peter Blossfeld | Alfred Hamerle | Karl Ulrich Mayer
Event History Analysis
Statistical theory and Application in the Social Sciences
E-Book
02/2014
1st Edition
Psychology Press Ltd
€44.49
Available for download

Hans-Peter Blossfeld | Alfred Hamerle | Karl Ulrich Mayer
Event History Analysis
Statistical theory and Application in the Social Sciences
E-Book
02/2014
1st Edition
Psychology Press Ltd
€44.99
Available for download

Hans-Peter Blossfeld | Alfred Hamerle | Karl Ulrich Mayer
Event History Analysis
Statistical theory and Application in the Social Sciences
Book
11/1988
1st Edition
Psychology Press
€133.69
Shipment within 10-20 days
Persons
Hans-Peter Blossfeld, Alfred Hamerle, Karl Ulrich Mayer
Content
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.