Statistics review 12: Survival analysis

doi:10.1186/cc2955

Critical Care
Volume 8
Issue 5

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This article is part of a series on Medical statistics, edited by Jonathan Ball, Viv Bewick and Liz Cheek.

Review

Statistics review 12: Survival analysis

Viv Bewick¹ , Liz Cheek¹ and Jonathan Ball²

¹Senior Lecturer, School of Computing, Mathematical and Information Sciences, University of Brighton, Brighton, UK

²Senior Registrar in ICU, Liverpool Hospital, Sydney, Australia

author email corresponding author email

Critical Care 2004, 8:389-394doi:10.1186/cc2955


Published:	6 September 2004

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.