Statistics review 12: survival analysis

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.

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Bibliographic Details
Published inCritical care (London, England) Vol. 8; no. 5; pp. 389 - 394
Main Authors Bewick, Viv, Cheek, Liz, Ball, Jonathan
Format Journal Article
LanguageEnglish
Published England National Library of Medicine - MEDLINE Abstracts 01.10.2004
BioMed Central Ltd
BioMed Central
Subjects
Bias
Data Interpretation, Statistical
Endpoint Determination - statistics & numerical data
Humans
Linear Models
Proportional Hazards Models
Review
Survival Analysis
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1364-8535
1466-609X
DOI:10.1186/cc2955