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Published in: Critical Care 5/2004

01-10-2004 | Review

Statistics review 12: Survival analysis

Authors: Viv Bewick, Liz Cheek, Jonathan Ball

Published in: Critical Care | Issue 5/2004

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Abstract

This review introduces methods of analyzing data arising from studies where the response variable is the length of time taken to reach a certain end-point, often death. The Kaplan–Meier methods, log rank test and Cox's proportional hazards model are described.
Appendix
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Literature
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go back to reference Swinscow TDV, Campbell MJ: Statistics at Square One London: BMJ Books 2002. Swinscow TDV, Campbell MJ: Statistics at Square One London: BMJ Books 2002.
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go back to reference Kirkwood BR, Sterne JAC: Essential Medical Statistics 2 Edition Oxford, UK: Blackwell Science Ltd 2003. Kirkwood BR, Sterne JAC: Essential Medical Statistics 2 Edition Oxford, UK: Blackwell Science Ltd 2003.
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go back to reference Dupont M, Gacouin A, Lena H, Lavoue S, Brinchault G, Delaval P, Thomas R: Survival of patients with bronchiectasis after the first ICU stay for respiratory failure. Chest 2004, 125: 1815-1820. 10.1378/chest.125.5.1815CrossRefPubMed Dupont M, Gacouin A, Lena H, Lavoue S, Brinchault G, Delaval P, Thomas R: Survival of patients with bronchiectasis after the first ICU stay for respiratory failure. Chest 2004, 125: 1815-1820. 10.1378/chest.125.5.1815CrossRefPubMed
Metadata
Title
Statistics review 12: Survival analysis
Authors
Viv Bewick
Liz Cheek
Jonathan Ball
Publication date
01-10-2004
Publisher
BioMed Central
Published in
Critical Care / Issue 5/2004
Electronic ISSN: 1364-8535
DOI
https://doi.org/10.1186/cc2955

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