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ShijieRen, Jeremy E. Oakley and John W. StevensUniversity of OfHealth AndRelated (SD) beliefsonthe range oftreatmenteffectsinordertoinfertheprior distributionforthebetween-studySD ,wherethe range ,where isP( < ),Lfor low heterogeneity isP( < < ),Mfor moderate isP( < <1),Hfor high isP( >1),EHfor extremehigh Discussion , : A manuscript Incorporating genuine prior information about between-study heterogeneity in random effects pairwise and network meta-analyses is in submission. The pre-print can be downloaded from :Comparisonofresultsobtainedfromfixedeff ectandrandomeffectsmodelswiththepriordis tributionforheterogeneityasuniform[0,5], lognormalproposedbyTurneretal(2012), 1: confirmation of the need for a random effects model Canyoubecertainthatthetreatmenteffectsac rossthestudieswillbeidentical,ignoringwi thin-studysamplingvariability? Stage 2: consideration of an upper bound for Let ?Denotingthislimitby ,thismeansthatyouwouldthinkvaluesof above aretooimplausibletobecontemplated.
Shijie Ren, Jeremy E. Oakley and John W. Stevens University of Sheffield s.ren@sheffield.ac.uk www.facebook.com/scharrsheffield School Of Health And
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