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Risk and treatment effect heterogeneity: re-analysis of individual participant data from 32 large clinical trials

Abstract:

Background: Risk of the outcome is a mathematical determinant of the absolute treatment benefit of an intervention, yet this can vary substantially within a trial population, complicating interpretation of trial results.
Methods: We derived risk models using Cox or logistic regression on a set of large publically available RCTs. Risk heterogeneity was evaluated using the extreme quartile risk ratio (EQRR, the ratio of outcome rates in the lowest risk quartile to that in the highest). S...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/ije/dyw118

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
More from this funder
Name:
National Institutes of Health
Grant:
U01NS086294
UL1 TR001064
More from this funder
Name:
Patient-Centered Outcomes Research Institute
Grant:
Pilot Project Program Award (grant number IP2PI000722)
Methods Research Award (grant number ME-1306-03758
Publisher:
Oxford University Press
Journal:
International Journal of Epidemiology More from this journal
Volume:
45
Issue:
6
Pages:
2075-2088
Publication date:
2016-07-03
Acceptance date:
2016-04-18
DOI:
EISSN:
1464-3685
ISSN:
0300-5771
Keywords:
Pubs id:
pubs:626379
UUID:
uuid:f3ed55d5-2e6b-467b-a878-c893d9bf4350
Local pid:
pubs:626379
Source identifiers:
626379
Deposit date:
2016-06-08

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