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dc.contributor.authorHaidich, A. B.en
dc.contributor.authorIoannidis, J. P.en
dc.date.accessioned2015-11-24T19:41:17Z-
dc.date.available2015-11-24T19:41:17Z-
dc.identifier.issn0895-4356-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/24467-
dc.rightsDefault Licence-
dc.subjectAdulten
dc.subjectClinical Trials as Topic/*methodsen
dc.subjectHIV Infections/therapyen
dc.subjectHumansen
dc.subjectLogistic Modelsen
dc.subjectMulticenter Studies as Topic/*methodsen
dc.subject*Patient Selectionen
dc.subjectRandomized Controlled Trials as Topic/methodsen
dc.subjectResearch Designen
dc.titleThe Gini coefficient as a measure for understanding accrual inequalities in multicenter clinical studiesen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primary10.1016/j.jclinepi.2003.09.011-
heal.identifier.secondaryhttp://www.ncbi.nlm.nih.gov/pubmed/15135834-
heal.identifier.secondaryhttp://ac.els-cdn.com/S0895435603003743/1-s2.0-S0895435603003743-main.pdf?_tid=1695aa9628ef772f56f45584e9bd13ed&acdnat=1333364442_5033404ec884136cc3363210bb3d4dee-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικήςel
heal.publicationDate2004-
heal.abstractOBJECTIVE: Clinical sites participating in multicenter trials may have unequal performance in recruiting subjects. We propose using the Gini coefficient as a quantitative measure of site accrual inequalities. STUDY DESIGN AND SETTING: We evaluated the relationship of this metric to other study characteristics across 166 clinical studies (27,865 subjects) conducted by the AIDS Clinical Trials Group between 1986 and 1999. RESULTS: Overall there was a modest recruitment inequality among clinical centers (mean Gini=0.33). In multivariate modeling, site accrual inequalities were higher when there was more protracted enrollment, and a larger number of sites and were lower in antiretroviral studies than other studies. In long-term studies, the site accrual inequality increased significantly over time (P=0.004). In efficacy trials, a higher Gini coefficient was associated with higher likelihood of the study results being statistically significant (P=0.010). CONCLUSION: The Gini coefficient may be easily and routinely incorporated in the description of the characteristics of a clinical study and may provide insights about its enrollment pattern.en
heal.journalNameJ Clin Epidemiolen
heal.journalTypepeer-reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ

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