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This document provides evidence on how measurement procedures in trials of interventions to improve health produce risk of bias, and provides recommendations on how best to minimise such bias.
1 Manchester Centre for Health Psychology, University of Manchester, Manchester, UK
2 Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
3 Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
4 School of Population Health and Environmental Sciences, King’s College London, London, UK
5 Health Services Research Unit, University of Aberdeen, Aberdeen, UK
6 Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
7 Department of Health Sciences, University of York, York, UK
* Corresponding author Email: david.french@manchester.ac.uk
† The MERIT Collaborative Group are listed in Appendix 1.
The MERIT Collaborative Group are listed in Appendix 1.
Declared competing interests of authors: David P French was a member of the National Institute for Health Research (NIHR) Public Health Research Funding Board (2015–19). Andrew Farmer is Director of the NIHR Health Technology Assessment programme (2020 to present) and is an NIHR Senior Investigator. Martin Gulliford was a member of the NIHR Health Services and Delivery Research (HSDR) Funding Committee (2016–19). Louise Locock was a member of the NIHR HSDR Funding Committee (2014–19).
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