The value of the aggregate data approach in meta-analysis with time-to-event Outcomes
The value of the aggregate data approach in meta-analysis with time-to-event Outcomes
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 In the first example the results suggest that further effort should be made to find unpublished trials.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.
357-370
Tudor, Catrin
ca87d037-1115-489d-8933-1c9314b7220c
Williamson, Paula R.
c16e50ad-6a7d-4d5a-b458-bfdd6a1df118
Khan, Saboor
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Best, Lesley Y.
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March 2001
Tudor, Catrin
ca87d037-1115-489d-8933-1c9314b7220c
Williamson, Paula R.
c16e50ad-6a7d-4d5a-b458-bfdd6a1df118
Khan, Saboor
b9bd1971-2d31-494d-a0db-e73d9379d10e
Best, Lesley Y.
7c4a1fe5-21a1-4634-a1cc-0230322603d1
Tudor, Catrin, Williamson, Paula R., Khan, Saboor and Best, Lesley Y.
(2001)
The value of the aggregate data approach in meta-analysis with time-to-event Outcomes.
Journal of the Royal Statistical Society. Series A (General), 164 (2), .
(doi:10.1111/1467-985X.00207).
Abstract
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 In the first example the results suggest that further effort should be made to find unpublished trials.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.
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Published date: March 2001
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Local EPrints ID: 485577
URI: http://eprints.soton.ac.uk/id/eprint/485577
ISSN: 0035-9238
PURE UUID: 1611dc6f-b4a2-4b9d-9122-29f3785f99ce
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Date deposited: 11 Dec 2023 17:35
Last modified: 18 Mar 2024 03:53
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Author:
Catrin Tudor
Author:
Paula R. Williamson
Author:
Saboor Khan
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