9781412997706-1412997704-Event History and Survival Analysis (Quantitative Applications in the Social Sciences)

Event History and Survival Analysis (Quantitative Applications in the Social Sciences)

ISBN-13: 9781412997706
ISBN-10: 1412997704
Edition: Second
Author: Allison, Paul D.
Publication date: 2014
Publisher: SAGE Publications, Inc
Format: Paperback 112 pages
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Book details

ISBN-13: 9781412997706
ISBN-10: 1412997704
Edition: Second
Author: Allison, Paul D.
Publication date: 2014
Publisher: SAGE Publications, Inc
Format: Paperback 112 pages

Summary

Acknowledged authors Allison, Paul D. wrote Event History and Survival Analysis (Quantitative Applications in the Social Sciences) comprising 112 pages back in 2014. Textbook and eTextbook are published under ISBN 1412997704 and 9781412997706. Since then Event History and Survival Analysis (Quantitative Applications in the Social Sciences) textbook was available to sell back to BooksRun online for the top buyback price of $ 3.35 or rent at the marketplace.

Description

Social scientists are interested in events and their causes. Although event histories are ideal for studying the causes of events, they typically possess two features―censoring and time-varying explanatory variables―that create major problems for standard statistical procedures. Several innovative approaches have been developed to accommodate these two peculiarities of event history data. This volume surveys these methods, concentrating on the approaches that are most useful to the social sciences. In particular, Paul D. Allison focuses on regression methods in which the occurrence of events is dependent on one or more explanatory variables. He gives attention to the statistical models that form the basis of event history analysis, and also to practical concerns such as data management, cost, and useful computer software.

The Second Edition is part of SAGE’s Quantitative Applications in the Social Sciences (QASS) series, which continues to serve countless students, instructors, and researchers in learning the most cutting-edge quantitative techniques.

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