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Statistics review 12: Survival analysis

Viv Bewick1*, Liz Cheek1 and Jonathan Ball2

Author Affiliations

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

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

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Critical Care 2004, 8:389-394 doi: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.

Keywords:
Cox's proportional-hazards model; cumulative hazard function H(t); hazard ratio; Kaplan–Meier method; log rank test; survival function S(t)