Event History and Survival Analysis/ Paul D. Allison

By:

Allison, Paul D [Author]

Series: Quantitative applications in the social sciencesPublication details: Sage 2014 New DelhiEdition: Second EditionDescription: xv,93pages: Illustrations 15 cmsISBN:

9781412997706

Subject(s):

DDC classification:

300.727 ALL

Contents:

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

Abstract: 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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Indian Institute of Management Visakhapatnam General Stacks	Non-fiction	300.727 ALL (Browse shelf(Opens below))	Available		001283

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

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.

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