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AuthorStone, Jennifer C
AuthorGlass, Kathryn
AuthorClark, Justin
AuthorMunn, Zachary
AuthorTugwell, Peter
AuthorDoi, Suhail A R
Available date2019-09-01T10:39:27Z
Publication Date2019-05-01
Publication NameInternational Journal of Evidence-Based Healthcare
Identifierhttp://dx.doi.org/10.1097/XEB.0000000000000165
CitationStone, Jennifer C . et al. "A unified framework for bias assessment in clinical research". International Journal of Evidence-Based Healthcare. 17(2):106–120, JUNE 2019
ISSN1744-1609
IdentifierPMID: 31094882
URIhttp://hdl.handle.net/10576/11766
AbstractMethodological flaws, limitations, and inadequate practices in research are well known and pose threats to the internal validity of any research study. However, there are ways of safeguarding research conduct to reduce the chance of research producing distorted results. Numerous tools now exist to assess the incorporation of such safeguards into primary research studies (also known as quality and/or risk-of-bias assessment). These tools typically include a variety of items that are then checked against those implemented in the study. Despite a lot of research in this area, no comprehensive generic classification of safeguards across study designs exist, although attempts have been made to clarify aspects of this. We review the developments in this area as well as use preliminary data from 100 methodological studies to illustrate our proposed approach. We conclude by proposing a new framework for identifying research studies at risk of being biased and the information in this article will promote a unification of the diverse approaches to facilitating bias assessment in clinical research.
Languageen
PublisherLippincott, Williams & Wilkins
Subjectclinical epidemiology
bias
meta-analysis
methodology
Quality
Scale
Quality score
Risk of bias
TitleA unified framework for bias assessment in clinical research
TypeArticle
Pagination106–120
Issue Number2
Volume Number17
ESSN1744-1609


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