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http://dx.doi.org/10.7465/jkdi.2017.28.2.349

Analysis of stage III proximal colon cancer using the Cox proportional hazards model  

Lee, Taeseob (Department of Statistics, Kangwon National University)
Lee, Minjung (Department of Statistics, Kangwon National University)
Publication Information
Journal of the Korean Data and Information Science Society / v.28, no.2, 2017 , pp. 349-359 More about this Journal
Abstract
In this paper, we conducted survival analyses by fitting the Cox proportional hazards model to stage III proximal colon cancer data obtained from the Surveillance, Epidemiology, and End Results program of the National Cancer Institute. We investigated the effect of covariates on the hazard function for death from proximal colon cancer in stage III with surgery performed and estimated the survival probability for a patient with specific covariates. We showed that the proportional hazards assumption is satisfied for covariates that were used to analyses, using a test based on the Schoenfeld residuals and plots of the Schoenfeld residuals and $log[-log\{{\hat{S}}(t)\}]$. We evaluated the model calibration and discriminatory accuracy by calibration plot and time-dependent area under the ROC curve, which were calculated using 10-fold cross validation.
Keywords
Calibration plot; Cox proportional hazards model; proximal colon cancer; ROC curve; survival analysis;
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