Abstract

Abstract In a meta‐analysis of randomized controlled trials with time‐to‐event outcomes, an aggregate data approach may be required for some or all included studies. Variation in the reporting of survival analyses in journals suggests that no single method for extracting the log(hazard ratio) estimate will suffice. Methods are described which improve upon a previously proposed method for estimating the log(HR) from survival curves. These methods extend to life‐tables. In the situation where the treatment effect varies over time and the trials in the meta‐analysis have different lengths of follow‐up, heterogeneity may be evident. In order to assess whether the hazard ratio changes with time, several tests are proposed and compared. A cohort study comparing life expectancy of males and females with cerebral palsy and a systematic review of five trials comparing two anti‐epileptic drugs, carbamazepine and sodium valproate, are used for illustration. Copyright © 2002 John Wiley & Sons, Ltd.

Keywords

Hazard ratioMeta-analysisStatisticsRandom effects modelEvent (particle physics)Survival analysisProportional hazards modelEconometricsHazardConfidence intervalLife expectancyAggregate (composite)Computer scienceMedicineMathematicsInternal medicine

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Year
2002
Type
article
Volume
21
Issue
22
Pages
3337-3351
Citations
540
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Paula Williamson, Catrin Tudur Smith, Jane L. Hutton et al. (2002). Aggregate data meta‐analysis with time‐to‐event outcomes. Statistics in Medicine , 21 (22) , 3337-3351. https://doi.org/10.1002/sim.1303

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DOI
10.1002/sim.1303