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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.

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David P French
[Image - ORCID logo], Lisa M Miles
[Image - ORCID logo], Diana Elbourne
[Image - ORCID logo], Andrew Farmer
[Image - ORCID logo], Martin Gulliford
[Image - ORCID logo], Louise Locock
[Image - ORCID logo], Stephen Sutton
[Image - ORCID logo], Jim McCambridge
[Image - ORCID logo] & .


David P French 1,*, Lisa M Miles 1, Diana Elbourne 2, Andrew Farmer 3, Martin Gulliford 4, Louise Locock 5, Stephen Sutton 6, Jim McCambridge 7,

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


Funding: {{metadata.Funding}}

{{metadata.Journal}} Volume: {{metadata.Volume}}, Issue: {{metadata.Issue}}, Published in {{metadata.PublicationDate | date:'MMMM yyyy'}}

https://doi.org/{{metadata.DOI}}

Citation:{{author}}{{ (($index < metadata.AuthorsArray.length-1) && ($index <=6)) ? ', ' : '' }}{{(metadata.AuthorsArray.length <= 6) ? '.' : '' }} {{(metadata.AuthorsArray.length > 6) ? 'et al. ' : ''}}. {{metadata.JournalShortName}} {{metadata.PublicationDate | date:'yyyy'}};{{metadata.Volume}}({{metadata.Issue}})

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