Event History and Survival Analysis

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.

Author: Paul D. Allison
Publisher: Sage Publications, Inc
Published: 02/19/2014
Pages: 112
Binding Type: Paperback
Weight: 0.30lbs
Size: 8.30h x 5.50w x 0.20d
ISBN: 9781412997706

About the Author
Paul D. Allison is professor of sociology at the University of Pennsylvania, where he teaches advanced graduate courses on event history analysis, categorical data analysis, and structural equation models with latent variables. He is the author of seven books and more than sixty journal articles, and is also the founder and president of Statistical Horizons, a company that offers short seminars on numerous topics in statistics. A former Guggenheim fellow, Allison received the 2001 Lazarsfeld Award for distinguished contributions to sociological methodology, and was elected as a fellow of the American Statistical Association in 2010.