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Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints

Statistics in Medicine · 1998 · Vol. 17(24) · pp. 2815–2834
Mahesh ParmarValter TorriLesley Stewart

Abstract

Meta-analyses aim to provide a full and comprehensive summary of related studies which have addressed a similar question. When the studies involve time to event (survival-type) data the most appropriate statistics to use are the log hazard ratio and its variance. However, these are not always explicitly presented for each study. In this paper a number of methods of extracting estimates of these statistics in a variety of situations are presented. Use of these methods should improve the efficiency and reliability of meta-analyses of the published literature with survival-type endpoints.

Software System Performance and ReliabilityStatisticsMeta-analysisReliability (semiconductor)Computer scienceSurvival analysisHazard ratioEvent (particle physics)EconometricsHazardVariance (accounting)

MeSH terms

HumansMeta-Analysis as TopicProportional Hazards ModelsSurvival AnalysisRandomized Controlled Trials as Topic
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References
The Statistical Analysis of Failure Time Data.
Biometrics · 1981 · 9,990 citations
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