Reducing bias in trials from reactions to measurement: the MERIT study including developmental work and expert workshop

French, David P; Miles, Lisa M; Elbourne, Diana; Farmer, Andrew; Gulliford, Martin; Locock, Louise; Sutton, Stephen; McCambridge, Jim; ,

doi:10.3310/hta25550

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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.

David P French , Lisa M Miles , Diana Elbourne , Andrew Farmer , Martin Gulliford , Louise Locock , Stephen Sutton , Jim McCambridge & .

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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

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