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Survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome studies
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...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2006
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1550820/ https://www.ncbi.nlm.nih.gov/pubmed/16420653 http://dx.doi.org/10.1186/cc3949 |
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author | Schoenfeld, David |
author_facet | Schoenfeld, David |
author_sort | Schoenfeld, David |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-1550820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-15508202006-08-22 Survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome studies Schoenfeld, David Crit Care Commentary 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. BioMed Central 2006 2005-12-09 /pmc/articles/PMC1550820/ /pubmed/16420653 http://dx.doi.org/10.1186/cc3949 Text en Copyright © 2005 BioMed Central Ltd |
spellingShingle | Commentary Schoenfeld, David Survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome studies |
title | Survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome studies |
title_full | Survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome studies |
title_fullStr | Survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome studies |
title_full_unstemmed | Survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome studies |
title_short | Survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome studies |
title_sort | survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome studies |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1550820/ https://www.ncbi.nlm.nih.gov/pubmed/16420653 http://dx.doi.org/10.1186/cc3949 |
work_keys_str_mv | AT schoenfelddavid survivalmethodsincludingthoseusingcompetingriskanalysisarenotappropriateforintensivecareunitoutcomestudies |