Event History and Survival Analysis

Regression for Longitudinal Event Data

by

Subject categories
ISBNs
  • 9781412997706
  • 9781483303642
  • 9781483316055

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.

  • SAGE Publications; February 2014
  • ISBN 9781483303642
  • Read online, or download in secure PDF or secure EPUB format
  • Title: Event History and Survival Analysis
  • Author: Paul D. Allison
  • Imprint: SAGE Publications, Inc
Subject categories
ISBNs
  • 9781412997706
  • 9781483303642
  • 9781483316055
Subject categories
ISBNs
  • 9781412997706
  • 9781483303642
  • 9781483316055