European University Institute Library

Event history and survival analysis, Paul D. Allison, University of Pennsylvania

eng

Includes bibliographical references (pages 85-87) and index

illustrations

index present

non fiction

Event history and survival analysis

bibliography

870425700

Paul D. Allison, University of Pennsylvania

Quantitative applications in the social sciences, series/number 07-46

Social scientists are interested in events and their causes. Although even 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.--From publisher's description

Introduction -- Discrete-time methods -- Parametric methods for continuous-time data -- Cox regression -- Multiple kinds of events -- Repeated events -- Conclusion