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Title: Predicting the absolute risk of dying from colorectal cancer and from other causes using population-based cancer registry data.
Authors: Lee M,  Cronin KA,  Gail MH,  Feuer EJ
Journal: Stat Med
Date: 2012 Feb 28
Branches: BB
PubMed ID: 22170169
PMC ID: not available
Abstract: This paper describes how population cancer registry data from the Surveillance, Epidemiology, and End Results program of the National Cancer Institute can be used to develop a prognostic model to predict the absolute risk of mortality from cancer and from other causes for an individual with specific covariates. It incorporates previously developed methods for competing risk modeling along with an imputation method to address missing cause of death information. We illustrate these approaches with colorectal cancer and evaluate the model discriminatory and calibration accuracy by time-dependent area under the receiver operating characteristic curve and calibration plot.