article Open AccessTop 1% cited
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials
BMJ · 2011 · Vol. 343(oct18 2) · pp. d5928–d5928
Julian P. T. Higgins✉(MRC Biostatistics Unit)Doug Altman(University of Oxford)Peter C Gøtzsche(Cochrane)Peter Jüni(Institute of Social and Preventive Medicine)David Moher(University of Ottawa)Andrew D Oxman(Nasjonalt Kunnskapssenter for Helsetjenesten)Jelena Savović(University of Bristol)Kenneth F. Schulz(Family Health International 360)Laura Weeks(Ottawa Hospital Research Institute)Jonathan A C Sterne(University of Bristol)Cochrane Bias Methods GroupCochrane Statistical Methods Group
Abstract
Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate
Meta-analysis and systematic reviewsHealth Systems, Economic Evaluations, Quality of LifeHealthcare cost, quality, practicesCochrane collaborationRandomized controlled trialMedicineMEDLINEIntervention (counseling)Computer scienceProcess (computing)Risk analysis (engineering)Medical physicsData science
MeSH terms
HumansResearch DesignBiasRandomized Controlled Trials as TopicRisk Assessment
Citations
33,606
FWCI
342.10
field-weighted impact
References
27
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100%
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References
Assessing the quality of controlled clinical trials
BMJ · 2001 · 3,343 citations
Controlling the risk of spurious findings from meta‐regression
Statistics in Medicine · 2004 · 1,233 citations
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials
BMJ · 2011 · 33,606 citations
Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study
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