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Statistics review 12: survival analysis.
Critical Care · 2004 · Vol. 8(5) · pp. 389–389
Viv Bewick✉(University of Brighton)Liz Cheek(University of Brighton)Jonathan Ball(Liverpool Hospital)
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.
Multi-Criteria Decision MakingMedicineStatisticsProportional hazards modelSurvival analysisLog-rank testRank (graph theory)Variable (mathematics)MathematicsInternal medicineCombinatorics
MeSH terms
Data Interpretation, StatisticalHumansBiasLinear ModelsProportional Hazards ModelsSurvival AnalysisEndpoint Determination
Citations
466
FWCI
3.18
field-weighted impact
References
4
Percentile
92%
vs. same field & year
Citations per year
References
Statistical Methods in Medical Research.
Biometrics · 1972 · 4,072 citations
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