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A logistic PH regression model for interval censored survival data

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dc.contributor.author Al-tawarah, Yasin
dc.contributor.author MacKenzie, Gilbert
dc.date.accessioned 2013-01-04T14:21:48Z
dc.date.available 2013-01-04T14:21:48Z
dc.date.issued 2002
dc.identifier.uri http://hdl.handle.net/10344/2776
dc.description peer-reviewed en_US
dc.description.abstract The survival function of the logistic proportional hazards (PH) regression model, MacKenzie (1996), is obtained. A general likelihood for interval censored survival data which depends only on various closed forms of the survival function of a continuous underlying failure time distribution is introduced. The use of the logistic PH survival distribution is proposed for the analysis of interval censored data following a PH distribution. The corresponding interval censored likelihood is developed and compared with a mis-specified likelihood which treats the interval censored data as if they were exact. A simulation study is used to compare the two likelihoods. en_US
dc.language.iso eng en_US
dc.publisher IWSM en_US
dc.relation.ispartofseries Proceedings of the 17th International Workshop on Statistical Modelling.;
dc.relation.uri http://www.statmod.org/workshops.htm
dc.subject interval censoring en_US
dc.subject logistic survival en_US
dc.subject proportional hazards en_US
dc.subject mis-specification likelihood en_US
dc.title A logistic PH regression model for interval censored survival data en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 1439718


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