ISSN: 1300-0292
İndekslendiği Dizinler: SCIENCE CITATION INDEX EXPANDED
CINAHL, Index Copernicus,
Chemical Abstracts (CA),
Excerpta Medica / EMBASE
Dil: Türkçe, İngilizce
İçerik: Orijinal Araştırma, Derleme, Editöre Mektup, Olgu Sunumu, Tıp Eğitimi, Tıbbi Kitap İncelemeleri
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ORIGINAL RESEARCH ARTICLES |
Analysis Of Proportional Hazards Assumption In Cox Regression Model Using Residuals And An Application On Lung Cancer Patients
Dr. Yüksel TERZİ,a Dr. M. Ali CENGİZ,b Dr. Yüksel BEKc
aİstatistik Bölümü, Afyon Kocatepe Üniversitesi Fen-Edebiyat Fakültesi, AFYONbİstatistik Bölümü, Ondokuz Mayıs Üniversitesi Fen-Edebiyat Fakültesi,cBiyoistatistik AD, Ondokuz Mayıs Üniversitesi Tıp Fakültesi, SAMSUN
Objective: To aim of this study was to investigate proportional hazards assumption in Cox regression model with application to patients with lung cancer.
Material and Methods: Two-hundred twenty-seven patients with lung cancer were included in this study. Cox regression model was used to determine the prognostic factors that affect survival time in patients.
Results: Using the Cox regression model we found that the factors that had an impact on survival with a statistical significance (p< 0.05) were clubbing, aortic invasion, staging of the tumour, T, N, M, factors according to the TNM classification, division of NSCLC patients into squamous cell carcinoma and others, and brain metastases.
Conclusion: Cox regression model was investigated in terms of graph using statistical test and Schoenfeld residuals. The results suggest that the model holds proportional hazards assumption. The SAS macro was written for the analysis.Keywords: Survival analysis, lung neoplasmsTurkiye Klinikleri J Med Sci 2005, 25:770-775
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