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dc.contributor.authorCobo Valeri, Erik
dc.contributor.authorGonzález Alastrué, José Antonio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.identifier.citationCobo, E., Gonzalez, J. Taking advantage of unexpected WebCONSORT results. "BMC medicine", 2016.
dc.description.abstractTo estimate treatment effects, trials are initiated by randomising patients to the interventions under study and finish by comparing patient evolution. In order to improve the trial report, the CONSORT statement provides authors and peer reviewers with a guide of the essential items that would allow research replication. Additionally, WebCONSORT aims to facilitate author reporting by providing the items from the different CONSORT extensions that are relevant to the trial being reported. WebCONSORT has been estimated to improve the proportion of reported items by 0.04 (95% CI, –0.02 to 0.10), interpreted as “no important difference”, in accordance with the scheduled desired scenario of a 0.15 effect size improvement. However, in a non-scheduled analysis, it was found that, despite clear instructions, around a third of manuscripts selected for trials by the editorial staff were not actually randomised trials. We argue that surprises benefit science, and that further research should be conducted in order to improve the performance of editorial staff.
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Probabilitat
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica::Anàlisi multivariant
dc.subject.lcshCombinatorial probabilities
dc.subject.lcshSampling (Statistics)
dc.subject.otherClinical trials
dc.subject.otherPeer review
dc.subject.otherReporting guidelines
dc.titleTaking advantage of unexpected WebCONSORT results
dc.subject.lemacMostreig (Estadística)
dc.contributor.groupUniversitat Politècnica de Catalunya. GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. GNOM - Grup d'Optimització Numèrica i Modelització
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::60 Probability theory and stochastic processes::60C05 Combinatorial probability
dc.subject.amsClassificació AMS::62 Statistics::62D05 Sampling theory, sample surveys
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/676207/EU/Methods in Research on Research/MIROR
upcommons.citation.authorCobo, E., Gonzalez, J.
upcommons.citation.publicationNameBMC medicine

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