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المؤلفStone, Jennifer C
المؤلفGlass, Kathryn
المؤلفClark, Justin
المؤلفMunn, Zachary
المؤلفTugwell, Peter
المؤلفDoi, Suhail A R
تاريخ الإتاحة2019-09-01T10:39:27Z
تاريخ النشر2019-05-01
اسم المنشورInternational Journal of Evidence-Based Healthcare
المعرّفhttp://dx.doi.org/10.1097/XEB.0000000000000165
الاقتباسStone, 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
الرقم المعياري الدولي للكتاب1744-1609
المعرّفPMID: 31094882
معرّف المصادر الموحدhttp://hdl.handle.net/10576/11766
الملخصMethodological 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.
اللغةen
الناشرLippincott, Williams & Wilkins
الموضوعclinical epidemiology
bias
meta-analysis
methodology
Quality
Scale
Quality score
Risk of bias
العنوانA unified framework for bias assessment in clinical research
النوعArticle
الصفحات106–120
رقم العدد2
رقم المجلد17
ESSN1744-1609
dc.accessType Abstract Only


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