Bias due to MEasurement Reactions In Trials to improve health (MERIT): protocol for research to develop MRC guidance
Abstract Background There is now clear systematic review evidence that measurement can affect the people being measured; much of this evidence focusses on how asking people to complete a questionnaire can result in changes in behaviour. Changes in measured behaviour and other outcomes due to this re...
Main Authors: | Lisa M. Miles, Diana Elbourne, Andrew Farmer, Martin Gulliford, Louise Locock, Jim McCambridge, Stephen Sutton, David P. French |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-11-01
|
Series: | Trials |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13063-018-3017-5 |
Similar Items
-
Bias due to MEasurement Reactions In Trials to improve health (MERIT): protocol for research to develop MRC guidance
by: Miles, L, et al.
Published: (2018) -
Reducing bias in trials due to reactions to measurement: experts produced recommendations informed by evidence
by: French, DP, et al.
Published: (2021) -
Enhanced Computational Biased Proportional Navigation with Neural Networks for Impact Time Control
by: Xue Zhang, et al.
Published: (2024-08-01) -
PREVENTING BIAS IN THE BALANCED SCORECARD IMPLEMENTATION FOR PERFORMANCE ASSESSMENT
by: EKA ARDHANI SISDYANI
Published: (2007-01-01) -
A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E)
by: Julian P.T. Higgins, et al.
Published: (2024-04-01)