PARAMETRIC DURATION MODELS FOR CENSORED AND UNCENSORED DATA

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dc.contributor.authorUPAHI, E.O.,
dc.contributor.authorABIODUN, A.A.,
dc.contributor.authorADENIYI, O.I.
dc.date.accessioned2026-06-01T12:13:44Z
dc.date.available2026-06-01T12:13:44Z
dc.date.issued2017
dc.description.abstractCensoring is said to be present in data when information on time to outcome event is not available for all the study participants. The purpose of this study was to compare some parametric survival models when data are censored and when uncensored. The study used duration of labour data obtained from Record and files Department, Federal Medical Centre, Lokoja. Parametric proportional hazards model, namely, Exponential, Weibull and Gompertz models were fitted when the data were censored and when uncensored. Only variable full housewife was found to be significant in predicting duration of labour. Also, it was found that the three models had better fits when the data were censored than when they were uncensored. The study concludes that it is better to include censored observation when analysing duration data despite the incomplete information they provide.
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/123456789/18474
dc.language.isoen
dc.publisherAhmadu Bello University Zaria, Nigeria
dc.relation.ispartofseriesVol. (16). NO. 6; 857-861
dc.subjectCensoring
dc.subjectproportional hazard
dc.subjectduration of labour
dc.subjectAIC
dc.subjectuncensored.
dc.titlePARAMETRIC DURATION MODELS FOR CENSORED AND UNCENSORED DATA
dc.title.alternativeNigerian Journal of Scientific Research,
dc.typeArticle

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