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Updated: May 26, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Predicting the absolute risk of dying from colorectal cancer and from other causes using population-based cancer
Minjung Lee1, Kathleen A Cronin, Mitchell H Gail
1Data Analysis and Interpretation Branch, Division of Cancer Control and Population Studies, National Cancer Institute, Bethesda, MD 20852, USA. leem5@mail.nih.gov
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.
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