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Updated: Aug 13, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome
1Harvard Medical School, Massachusetts General Hospital Biostatistics Center, Staniford Street, Boston, MA 02114, USA. dschoenfeld@partners.org
Abstract:
The preferred analysis for studies of mortality among patients treated in an intensive care unit should compare the proportions of patients who died during hospitalization. Studies that look for prognostic covariates should use logistic regression. Survival methods, such as the proportional hazards model, or methods based on competing risk analysis are not appropriate because prolonged survival among patients that die during their hospitalization does not benefit the patient and, therefore, should not be measured in the statistical analysis.
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