Publication:
Application of Group Sequential Test Methods in Survival Analysis and Power Analysis of Spending Function

dc.authorscopusid16508006000
dc.authorscopusid51462050900
dc.authorscopusid51461954500
dc.authorscopusid12766595200
dc.contributor.authorTerzi, Y.
dc.contributor.authorSari, M.
dc.contributor.authorSabri Öǧütlü, A.
dc.contributor.authorCengiz, M.A.
dc.date.accessioned2025-12-10T21:20:59Z
dc.date.issued2007
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Terzi] Yüksel, Istatistik Bölümü, Afyon Kocatepe Üniversitesi, Afyonkarahisar, Afyonkarahisar, Turkey; [Sari] Münevvere, Istatistik Bölümü, Afyon Kocatepe Üniversitesi, Afyonkarahisar, Afyonkarahisar, Turkey; [Sabri Öǧütlü] Ahmet, Istatistik Bölümü, Afyon Kocatepe Üniversitesi, Afyonkarahisar, Afyonkarahisar, Turkey; [Cengiz] Mehmet Ali, Fen-Edebiyat Fakültesi, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractObjective: Application of group sequential test methods in survival analysis. Material and Methods: In the study, two groups of 224 patients diagnosed as lung cancer (KHAK and KHDAK) have been followed prospectively for 1060 days. These patients have been examined using group sequential test methods step by step and two groups' survival times have been compared for each step. In addition considering varied observation numbers and survival rates a simulation study is done for comparing 5 spending functions' power analysis. Results: Patients of two different types of lung cancer have been compared with respect to their survival times for each step (every 265 days). Determination of the step in which the study terminates has been fulfilled with group sequential test methods. In addition, spending functions used in these methods have been tested for superiority using power analysis. Of all the spending functions O'Brien Fleming produced the highest power analysis score. Conclusion: In the case of two treatment methods/groups comparisons, without waiting for end of the study, which treatment methods/groups to yield better could be determined with group sequential test methods. Hence, patients' survival times could be extended directing patients to other treatment methods/groups after a particular step. Copyright © 2007 by Türkiye Klinikleri.en_US
dc.identifier.endpage852en_US
dc.identifier.issn1300-0292
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-38349146840
dc.identifier.scopusqualityQ4
dc.identifier.startpage846en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12712/34630
dc.identifier.volume27en_US
dc.identifier.wosqualityN/A
dc.language.isotren_US
dc.publisherTürkiye Kliniklerien_US
dc.relation.ispartofTurkiye Klinikleri Journal of Medical Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPoweren_US
dc.subjectSurvival Analysisen_US
dc.titleApplication of Group Sequential Test Methods in Survival Analysis and Power Analysis of Spending Functionen_US
dc.title.alternativeGrup Ardışık Test Yöntemlerinin Sağkalım Analizinde Uygulanması ve Harcama Fonksiyonlarının Güç Analizien_US
dc.typeArticleen_US
dspace.entity.typePublication

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