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dc.contributor.authorZamora, Jen_US
dc.contributor.authorAbraira, Ven_US
dc.contributor.authorMuriel, Aen_US
dc.contributor.authorKhan, Ken_US
dc.contributor.authorCoomarasamy, Aen_US
dc.date.accessioned2017-01-24T15:22:04Z
dc.date.available2006-07-12en_US
dc.date.issued2006-07-12en_US
dc.date.submitted2017-01-23T06:52:19.508Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/18950
dc.description.abstractBACKGROUND: Systematic reviews and meta-analyses of test accuracy studies are increasingly being recognised as central in guiding clinical practice. However, there is currently no dedicated and comprehensive software for meta-analysis of diagnostic data. In this article, we present Meta-DiSc, a Windows-based, user-friendly, freely available (for academic use) software that we have developed, piloted, and validated to perform diagnostic meta-analysis. RESULTS: Meta-DiSc a) allows exploration of heterogeneity, with a variety of statistics including chi-square, I-squared and Spearman correlation tests, b) implements meta-regression techniques to explore the relationships between study characteristics and accuracy estimates, c) performs statistical pooling of sensitivities, specificities, likelihood ratios and diagnostic odds ratios using fixed and random effects models, both overall and in subgroups and d) produces high quality figures, including forest plots and summary receiver operating characteristic curves that can be exported for use in manuscripts for publication. All computational algorithms have been validated through comparison with different statistical tools and published meta-analyses. Meta-DiSc has a Graphical User Interface with roll-down menus, dialog boxes, and online help facilities. CONCLUSION: Meta-DiSc is a comprehensive and dedicated test accuracy meta-analysis software. It has already been used and cited in several meta-analyses published in high-ranking journals. The software is publicly available at http://www.hrc.es/investigacion/metadisc_en.htm.en_US
dc.format.extent31 - ?en_US
dc.languageengen_US
dc.language.isoenen_US
dc.relation.ispartofBMC Med Res Methodolen_US
dc.rightsCC-BY
dc.subjectClinical Laboratory Techniquesen_US
dc.subjectData Interpretation, Statisticalen_US
dc.subjectDiagnostic Imagingen_US
dc.subjectDiagnostic Servicesen_US
dc.subjectEndometriumen_US
dc.subjectFemaleen_US
dc.subjectHumansen_US
dc.subjectMeta-Analysis as Topicen_US
dc.subjectResearch Designen_US
dc.subjectSensitivity and Specificityen_US
dc.subjectSoftwareen_US
dc.subjectUltrasonographyen_US
dc.subjectUser-Computer Interfaceen_US
dc.subjectUterine Diseasesen_US
dc.titleMeta-DiSc: a software for meta-analysis of test accuracy data.en_US
dc.typeArticle
dc.rights.holder© 2006 Zamora et al; licensee BioMed Central Ltd.
dc.identifier.doi10.1186/1471-2288-6-31en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/16836745en_US
pubs.notesNot knownen_US
pubs.publication-statusPublished onlineen_US
pubs.volume6en_US
dcterms.dateAccepted2006-07-12en_US


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