Event History and Survival Analysis

Regression for Longitudinal Event Data

Nonfiction, Reference & Language, Reference, Research, Social & Cultural Studies, Social Science
Cover of the book Event History and Survival Analysis by Paul D. Allison, SAGE Publications
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Paul D. Allison ISBN: 9781483316055
Publisher: SAGE Publications Publication: February 19, 2014
Imprint: SAGE Publications, Inc Language: English
Author: Paul D. Allison
ISBN: 9781483316055
Publisher: SAGE Publications
Publication: February 19, 2014
Imprint: SAGE Publications, Inc
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from SAGE Publications

Cover of the book Applying Communication Theory for Professional Life by Paul D. Allison
Cover of the book Differentiated Literacy Strategies for English Language Learners, Grades 7–12 by Paul D. Allison
Cover of the book Class, Caste, Gender by Paul D. Allison
Cover of the book Transnational Migration and the Politics of Identity by Paul D. Allison
Cover of the book Carl Rogers' Helping System by Paul D. Allison
Cover of the book Understanding Public Relations by Paul D. Allison
Cover of the book An Introduction to Management Consultancy by Paul D. Allison
Cover of the book Starting Strong by Paul D. Allison
Cover of the book Self-Study Teacher Research by Paul D. Allison
Cover of the book Sociological Research Exercises for the Global Age by Paul D. Allison
Cover of the book Foreign Aid in South Asia by Paul D. Allison
Cover of the book Domestic Violence Advocacy by Paul D. Allison
Cover of the book Using Data to Close the Achievement Gap by Paul D. Allison
Cover of the book Out-think! by Paul D. Allison
Cover of the book Teaching Number in the Classroom with 4-8 Year Olds by Paul D. Allison
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy