Comparison of Five Survival Models: Breast Cancer Registry Data from Ege University Cancer Research Center

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dc.contributor.authorHayat, Elvan Akturk
dc.contributor.authorSuner, Asli
dc.contributor.authorUyar, Burak
dc.contributor.authorDursun, Omer
dc.contributor.authorOrman, Mehmet N.
dc.contributor.authorKitapcioglu, Gul
dc.date.accessioned2019-10-27T21:14:21Z
dc.date.available2019-10-27T21:14:21Z
dc.date.issued2010
dc.departmentEge Üniversitesien_US
dc.description.abstractObjective: In this study, we aimed to compare the results of the survival analysis of the patients with breast cancer using Weibull, Gamma, Gompertz, Log-Logistic and Log-Normal parametric models. Material and Methods: The data obtained from 5457 patients with breast cancer from Ege University Cancer Research Centre between 1992 and 2007 was used in this study. The patients were divided into two groups with respect to their ages, they were divided into two groups as 49 and below and 50 and above. The Log rank test was applied to compare the survival curves of the two age groups obtained by Kaplan Meier method. A survival analysis was conducted by using Weibull, Gamma, Gompertz, Loglogistic and Lognormal distribution of parametric models. Results: Survival curves of two groups were compared by using a log-rank test and no statistical significant difference was found between the two groups. In the analysis of the survival periods using parametric models, the age variable is taken as the covariate. To determine the best model among parametric models, Akaike Information Criteria (MC) was exploited. The results of the study revealed that the survival model found by the Gompertz distribution was the most appropriate one. Conclusion: By using AIC, the models obtained via Weibull, Loglogistic, Lognormal, Gamma and Gompertz were compared and the most suitable model for the obtained data distribution was determined. Although the AIC values for the five distributions in question were very close to each other, the Gompertz distribution, which had the lowest AIC value, was determined as the most suitable model.en_US
dc.identifier.endpage1674en_US
dc.identifier.issn1300-0292
dc.identifier.issn2146-9040
dc.identifier.issn1300-0292en_US
dc.identifier.issn2146-9040en_US
dc.identifier.issue5en_US
dc.identifier.startpage1665en_US
dc.identifier.urihttps://hdl.handle.net/11454/43371
dc.identifier.volume30en_US
dc.identifier.wosWOS:000284798000033en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherOrtadogu Ad Pres & Publ Coen_US
dc.relation.ispartofTurkiye Klinikleri Tip Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSurvival analysisen_US
dc.subjectbreast neoplasmsen_US
dc.subjectWeibull distributionen_US
dc.subjectLoglogistic distributionen_US
dc.subjectLognormal distributionen_US
dc.subjectGamma distributionen_US
dc.subjectGompertz distributionen_US
dc.titleComparison of Five Survival Models: Breast Cancer Registry Data from Ege University Cancer Research Centeren_US
dc.typeArticleen_US

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