Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/19398
Full metadata record
DC FieldValueLanguage
dc.contributor.authorIoannidis, J. P.en
dc.date.accessioned2015-11-24T18:59:43Z-
dc.date.available2015-11-24T18:59:43Z-
dc.identifier.issn0037-1963-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/19398-
dc.rightsDefault Licence-
dc.subject*Bias (Epidemiology)en
dc.subjectHumansen
dc.subjectRandomized Controlled Trials as Topicen
dc.subject*Research Designen
dc.titlePerfect study, poor evidence: interpretation of biases preceding study designen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primary10.1053/j.seminhematol.2008.04.010-
heal.identifier.secondaryhttp://www.ncbi.nlm.nih.gov/pubmed/18582622-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικήςel
heal.publicationDate2008-
heal.abstractIn the interpretation of research evidence, data that have been accumulated in a specific isolated study are typically examined. However, important biases may precede the study design. A study may be misleading, useless, or even harmful, even though it seems to be perfectly designed, conducted, analyzed, and reported. Some biases pertain to setting the wider research agenda and include poor scientific relevance, minimal clinical utility, or failure to consider prior evidence (non-consideration of prior evidence, biased consideration of prior evidence, or consideration of biased prior evidence). Other biases reflect issues in setting the specific research questions: examples include straw man effects, avoidance of head-to-head comparisons, head-to-head comparisons bypassing demonstration of effectiveness, overpowered studies, unilateral aims (focusing on benefits and neglecting harms), and the approach of the industry towards research as bulk advertisement (including ghost management of the literature). The concerted presence of such biases may have a multiplicative, detrimental impact on the scientific literature. These issues should be considered carefully when interpreting research results.en
heal.journalNameSemin Hematolen
heal.journalTypepeer-reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ

Files in This Item:
There are no files associated with this item.


This item is licensed under a Creative Commons License Creative Commons