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dc.contributor.authorAlakus, Kamil
dc.date.accessioned2020-06-21T14:47:40Z
dc.date.available2020-06-21T14:47:40Z
dc.date.issued2010
dc.identifier.issn1992-2248
dc.identifier.urihttps://hdl.handle.net/20.500.12712/17829
dc.descriptionWOS: 000280362600003en_US
dc.description.abstractWeibull distribution plays a central role in the analysis of survival or life time data. Link (1984, 1986) presented a confidence interval estimate of survival function using Cox's proportional hazard model with covariates. Her idea more recently extended by Alakus et al. (2007) to the exponential distribution and Alakus et al. (2007) to exponential proportional hazard model, respectively. Alakus (2010) studied confidence intervals for survival function from Weibull distribution. The same idea may be extended to the Weibull proportional hazard model provided that the survival times have a Weibull distributed random variable. In this study, we formed confidence interval for Weibull survival function for any values of the time and the covariates. Real data examples are also considered for illustrating the discussed confidence interval.en_US
dc.language.isoengen_US
dc.publisherAcademic Journalsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectConfidence intervalen_US
dc.subjecthazard functionen_US
dc.subjectpoint estimationen_US
dc.subjectsurvival analysisen_US
dc.subjectsurvival functionen_US
dc.subjectWeibull distributionen_US
dc.subjectWeibull proportional hazard modelen_US
dc.titleConfidence intervals estimation for survival function in Weibull proportional hazards regression based on censored survival time dataen_US
dc.typearticleen_US
dc.contributor.departmentOMÜen_US
dc.identifier.volume5en_US
dc.identifier.issue13en_US
dc.identifier.startpage1589en_US
dc.identifier.endpage1594en_US
dc.relation.journalScientific Research and Essaysen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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