Abstract

Summary Collecting individual patient data has been described as the ‘gold standard’ for undertaking meta-analysis. If studies involve time-to-event outcomes, conducting a meta-analysis based on aggregate data can be problematical. Two meta-analyses of randomized controlled trials with time-to-event outcomes are used to illustrate the practicality and value of several proposed methods to obtain summary statistic estimates. In the first example the results suggest that further effort should be made to find unpublished trials. In the second example the use of aggregate data for trials where no individual patient data have been supplied allows the totality of evidence to be assessed and indicates previously unrecognized heterogeneity.

Keywords

Meta-analysisAggregate (composite)Aggregate dataEvent (particle physics)StatisticComputer scienceEvent dataEvent studyEconometricsRandomized controlled trialValue (mathematics)StatisticsData miningMedicineMathematicsHistoryMachine learning

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Year
2001
Type
article
Volume
164
Issue
2
Pages
357-370
Citations
52
Access
Closed

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Catrin Tudur, Paula Williamson, Saboor Khan et al. (2001). The Value of the Aggregate Data Approach in Meta-Analysis with Time-to-Event Outcomes. Journal of the Royal Statistical Society Series A (Statistics in Society) , 164 (2) , 357-370. https://doi.org/10.1111/1467-985x.00207

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DOI
10.1111/1467-985x.00207