Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2006 Feb;10(1):103.
doi: 10.1186/cc3949.

Survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome studies

Affiliations
Comment

Survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome studies

David Schoenfeld. Crit Care. 2006 Feb.

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.

PubMed Disclaimer

Comment on

References

    1. Resche-Rigon M, Azoulay E, Chevret S. Evaluating mortality in intensive care units: contribution of competing risks analyses. Crit Care. 2006;10:R5. doi: 10.1186/cc3921. - DOI - PMC - PubMed
    1. Fine JP, Gray RJ. A proportional hazards model for the subdistri-bution of a competing risk. J Am Stat Assoc. 1999;94:496–509.
    1. Finkelstein DM, Schoenfeld DA. Analyzing survival in the presence of an auxiliary variable. Stat Med. 1994;13:1747–1754. - PubMed
    1. Anonymous Randomized, placebo-controlled trial of lisofylline for early treatment of acute lung injury and acute respiratory distress syndrome. Critical Care Med. 2002;30:1–6. - PubMed
    1. Betensky RA, Schoenfeld DA. Nonparametric estimation in a cure model with random cure times. Biometrics. 2001;57:282–286. doi: 10.1111/j.0006-341X.2001.00282.x. - DOI - PubMed

Publication types

LinkOut - more resources