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Evaluation of inconsistency in networks of interventions

Veroniki, A. A. (author)
Vasiliadis, Haris (author)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för klinisk kemi och transfusionsmedicin,Institute of Biomedicine, Department of Clinical Chemistry and Transfusion Medicine
Higgins, J. P. T. (author)
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Salanti, G. (author)
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 (creator_code:org_t)
2013-03-14
2013
English.
In: International Journal of Epidemiology. - : Oxford University Press (OUP). - 0300-5771 .- 1464-3685. ; 42:1, s. 332-345
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Background The assumption of consistency, defined as agreement between direct and indirect Methods In this paper we assess the prevalence of inconsistency from data of 40 published networks of Results Inconsistency was detected in from 2% to 9% of the tested loops, depending on the effect Conclusions The study suggests that changing the effect measure might improve statistical consistency

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinsk bioteknologi -- Biomedicinsk laboratorievetenskap/teknologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Medical Biotechnology -- Biomedical Laboratory Science/Technology (hsv//eng)

Keyword

Mixed-treatment comparison
multiple treatments meta-analysis
loops
heterogeneity
odds ratio
mixed treatment comparisons
random-effects metaanalysis
effects
meta-regression
variance-estimation
clinical-trials
competing
interventions
heterogeneity
model
consistency
estimators
rsimonian r
1986
controlled clinical trials
v7
p177

Publication and Content Type

ref (subject category)
art (subject category)

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