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 Key Concepts in Corporate Social Responsibility by Paul D. Allison
Cover of the book How to Develop Children as Researchers by Paul D. Allison
Cover of the book The Learning Framework in Number by Paul D. Allison
Cover of the book Urban and Regional Planning in India by Paul D. Allison
Cover of the book Improving Achievement in Low-Performing Schools by Paul D. Allison
Cover of the book Understanding Schemas and Emotion in Early Childhood by Paul D. Allison
Cover of the book Jerome Bruner by Paul D. Allison
Cover of the book Economic Evaluation in Education by Paul D. Allison
Cover of the book Measurement Made Accessible by Paul D. Allison
Cover of the book Mastering Mentorship by Paul D. Allison
Cover of the book Basics of Structural Equation Modeling by Paul D. Allison
Cover of the book Grin & Share It! by Paul D. Allison
Cover of the book Key Issues in Special Educational Needs and Inclusion by Paul D. Allison
Cover of the book Marketing for Entrepreneurs by Paul D. Allison
Cover of the book Research Designs 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