Year 2017, Volume 5, Issue 1, Pages 85 - 102 2017-06-30

Yaşam Çözümlemesinde Eş Zamanlı Yaşam Süreleri
Tied Survival Times In Survival Analysis

Durdu Karasoy [1] , Sena Keskin Kaplan [2]

256 409

Yaşam çözümlemesi, tanımlanan herhangi bir olayın belirli bir başlangıç noktasından, ortaya çıkmasına kadar geçen sürenin incelenmesinde kullanılan istatistiksel yöntemler topluluğudur. Yaşam çözümlemesinde sıkça kullanılan yöntemlerden biri yaşam süresi üzerinde etkili olan faktörlerin belirlenmesinde kullanılan Cox regresyon modelidir Cox regresyon modelinin orantılı tehlikeler varsayımına ek olarak bir diğer varsayımı ise eş zaman durumunun meydana gelmemiş olmasıdır. Ancak çalışmalarda genellikle eş zamanlı olarak meydana gelen başarısızlıklara rastlanmaktadır ve bu durum özel çözüm gerektirmektedir. Kesin yöntem, Breslow yöntemi, Efron yöntemi ve Kesikli yöntem olarak bilinen yöntemler bu özel çözümlemelerdir. Çalışma boyunca incelenen yöntemlerden Breslow yöntemi, Efron yöntemi ve Kesin yöntem, eş zamanlı gözlemlerin olduğu duruma örnek olarak mide kanseri verilerine uygulanmış Kesin yöntem ile Cox regresyon modelinin en iyi model olduğuna karar verilmiştir. Daha sonra ise eş zamanlı gözlemlerin olmadığı Akut Miyokard İnfarktüsü verilerine uygulanmış ve sonuçların aynı olduğu gözlenmiştir.
Survival analysis is generally defined as a set of methods for analyzing data where the outcome variable is the time until the occurrence of an event of interest. One of the methods commonly used in the survival analysis is Cox regresion model which is used to determine the factors that impact on survival times. Cox regression model has assumptions. One of them is proportional hazards assumption and the another one is there is no tied data between event times. However, in real applications, tied event times are commonly observed and Cox’s partial likelihood function needs to be modified to handle ties. It is well known methods that the Exact method, Breslow method, Efron method and Discrete method for handling tied event times. Firstly, the methods are analysed during the study, Breslow, Efron and Exact methods, which is applied on a stomach canser data set (there is tied data between event times) It was decided that Cox regression with Exact Method is the best model. Than this methods is applied Acute Myocardial Infarction data set which has no tied data between event times and it is found the same resuts at all methods.
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Subjects Social
Journal Section Articles
Authors

Author: Durdu Karasoy
Institution: HACETTEPE ÜNİVERSİTESİ

Author: Sena Keskin Kaplan
Institution: ÖSYM

Bibtex @research article { alphanumeric323833, journal = {Alphanumeric Journal}, issn = {}, eissn = {2148-2225}, address = {Bahadır Fatih YILDIRIM}, year = {2017}, volume = {5}, pages = {85 - 102}, doi = {10.17093/alphanumeric.323833}, title = {Tied Survival Times In Survival Analysis}, key = {cite}, author = {Karasoy, Durdu and Keskin Kaplan, Sena} }
APA Karasoy, D , Keskin Kaplan, S . (2017). Tied Survival Times In Survival Analysis. Alphanumeric Journal, 5 (1), 85-102. DOI: 10.17093/alphanumeric.323833
MLA Karasoy, D , Keskin Kaplan, S . "Tied Survival Times In Survival Analysis". Alphanumeric Journal 5 (2017): 85-102 <http://dergipark.org.tr/alphanumeric/issue/26687/323833>
Chicago Karasoy, D , Keskin Kaplan, S . "Tied Survival Times In Survival Analysis". Alphanumeric Journal 5 (2017): 85-102
RIS TY - JOUR T1 - Tied Survival Times In Survival Analysis AU - Durdu Karasoy , Sena Keskin Kaplan Y1 - 2017 PY - 2017 N1 - doi: 10.17093/alphanumeric.323833 DO - 10.17093/alphanumeric.323833 T2 - Alphanumeric Journal JF - Journal JO - JOR SP - 85 EP - 102 VL - 5 IS - 1 SN - -2148-2225 M3 - doi: 10.17093/alphanumeric.323833 UR - https://doi.org/10.17093/alphanumeric.323833 Y2 - 2019 ER -
EndNote %0 Alphanumeric Journal Tied Survival Times In Survival Analysis %A Durdu Karasoy , Sena Keskin Kaplan %T Tied Survival Times In Survival Analysis %D 2017 %J Alphanumeric Journal %P -2148-2225 %V 5 %N 1 %R doi: 10.17093/alphanumeric.323833 %U 10.17093/alphanumeric.323833
ISNAD Karasoy, Durdu , Keskin Kaplan, Sena . "Tied Survival Times In Survival Analysis". Alphanumeric Journal 5 / 1 (June 2017): 85-102. https://doi.org/10.17093/alphanumeric.323833