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Is confounding considered when estimating treatment-covariate interactions in individual participant data meta-analyses of randomised trials? Protocol for a methodological study

Rogozinska, E; Cornett, C; Marlin, N; Fisher, D; Godolphin, PJ; (2021) Is confounding considered when estimating treatment-covariate interactions in individual participant data meta-analyses of randomised trials? Protocol for a methodological study. OSF Preprints: Charlottesville, VA, USA. Green open access

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Abstract

A key question for meta-analyses is reliably assessing whether treatment effects vary across different participant groups, thereby informing how best to treat individual patients. However, it is possible that evidence of an interaction is driven by a different, confounding factor. In a methodological study, we are aiming to assess what methods currently exist to deal with confounding when estimating treatment-covariate interactions and what methods are currently being used in practice. In this protocol, we describe the methodology we are employing in this study.

Type: Working / discussion paper
Title: Is confounding considered when estimating treatment-covariate interactions in individual participant data meta-analyses of randomised trials? Protocol for a methodological study
Open access status: An open access version is available from UCL Discovery
DOI: 10.31219/osf.io/za82j
Publisher version: https://doi.org/10.31219/osf.io/za82j
Language: English
Additional information: This is an Open Access paper published under a Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/).
Keywords: clinical trial, confounding, effect modification, meta-analysis, methodological review, treatment-covariate interaction
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10132823
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