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

Author/creator Allison, Paul David
Other author Allison, Paul David.
Format Electronic
EditionSecond edition.
Publication InfoLos Angeles : SAGE, [2014]
Descriptionxvi, 93 pages : illustrations ; 22 cm
Supplemental ContentFull text available from SAGE Research Methods Core
Subjects

SeriesQuantitative applications in the social sciences ; series/number 07-46
Quantitative applications in the social sciences ; no. 07-046. ^A5424
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.
General noteFirst published in 1984 under the title: Event history analysis.
Bibliography noteIncludes bibliographical references (pages 85-87) and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2015413041
ISBN9781412997706 (pbk.)
ISBN1412997704 (pbk.)

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