Estimating Marginal Survival in the Presence of Dependent and Independent Censoring: With Applications to Dividend Initiation Policy

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dc.contributor.authorFix, Gretchen Abigail
dc.date.accessioned2020-09-11T01:24:30Z
dc.date.available2020-09-11T01:24:30Z
dc.date.issued2005
dc.description.abstractIn many survival analysis settings, the assumption of non-informative (i.e. independent) censoring is not valid. Zheng and Klein (1995, 1996) develop a copula-based method for estimating the marginal survival functions of bivariate dependent competing risks data. We expand upon this earlier work and adapt their method to data in which there are three competing risks representing both dependent and independent censoring. Specifically, our extension allows for the estimation of the survival functions of dependent competing risks X and Y in the presence of a third independent competing risk Z. An application to dividend initiation data is presented.
dc.format.extent178 pp
dc.identifier.citationFix, Gretchen Abigail. "Estimating Marginal Survival in the Presence of Dependent and Independent Censoring: With Applications to Dividend Initiation Policy." (2005) Rice University: <a href="https://hdl.handle.net/1911/109334">https://hdl.handle.net/1911/109334</a>.
dc.identifier.digitalTR2005-14
dc.identifier.urihttps://hdl.handle.net/1911/109334
dc.language.isoeng
dc.publisherRice University
dc.titleEstimating Marginal Survival in the Presence of Dependent and Independent Censoring: With Applications to Dividend Initiation Policy
dc.typeTechnical report
dc.type.dcmiText
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