A New Cure Rate Model Based on Flory-Schulz Distribution: Application to the Cancer Data

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datacite.alternateIdentifier.citationMATHEMATICS,Vol.10,,2022
datacite.alternateIdentifier.doi10.3390/math10244643
datacite.creatorAzimi, Reza
datacite.creatorEsmailian, Mahdy
datacite.creatorGallardo, Diego, I
datacite.creatorGomez, Hector J.
datacite.date2022
datacite.subject.englishcure rate model
datacite.subject.englishFlory-Schulz distribution
datacite.subject.englishgeneralized truncated Nadarajah-Haghighi distribution
datacite.subject.englishcancer data
datacite.subject.englishmaximum likelihood estimation
datacite.titleA New Cure Rate Model Based on Flory-Schulz Distribution: Application to the Cancer Data
dc.date.accessioned2023-06-08T15:48:07Z
dc.date.available2023-06-08T15:48:07Z
dc.description.abstractIn this article a new flexible survival cure rate model is introduced by assuming that the number of competing causes of the event of interest follows the Flory-Schulz distribution and the competing causes follow the generalized truncated Nadarajah-Haghighi distribution. Parameter estimation for the proposed model is derived based on the maximum likelihood estimation method. A simulation study is performed to show the performance of the ML estimators. We discuss three real data applications related to real cancer data sets to assess the usefulness of the proposed model compared with some existing cure rate models for the sake of comparison.
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/5207
dc.language.isoen
dc.publisherMDPI
dc.sourceMATHEMATICS
oaire.resourceTypeArticle
uct.indizacionSCI
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