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Catalogue of Bias / Catalogue of Bias Collaboration / Oxford [United Kingdom] : Centre for Evidence-Based Medicine (CEBM) (2023)    

Catalogue of Bias : A collaborative project mapping all the biases that affect health evidence [electronic document] / Catalogue of Bias Collaboration, Author ; Douglas Badenoch, Editor ; Carl Heneghan, Editor ; David Nunan , Editor . - Oxford [United Kingdom] : Centre for Evidence-Based Medicine (CEBM), 2023. Continuous update Languages : English (eng) Descriptors: Classification WA 950 Theory or methods of medical statistics Indexation Bias (Epidemiology) ; Database ; Information Science Abstract: Bias enters health studies at all stages and often influences the magnitude and direction of results. To obtain the least biased information, researchers must acknowledge the potential presence of biases and take steps to avoid and minimise their effects. Equally, in assessing the results of studies, we must be aware of the different types of biases, their potential impact and how this affects interpretation and use of evidence in healthcare decision making. To better understand the persistent presence, diversity, and impact of biases, we are compiling a Catalogue of Bias, stemming from original work by David Sackett. The entries are a work in progress and describe a wide range of biases – outlining their potential impact in research studies. The Catalogue of Bias Collaboration started in June 2017 with a meeting at the Harbour Hotel, Bristol. The first pages were posted in December 2017, and a launch event was held in Oxford at the Practice of Evidence-Based Healthcare module on the 17th January 2018. In 2019 we moved our away day meetings to Ettington Park, in Stratford. We continually refine and update this resource. Contents note: Admission rate bias, All's well literature bias, Allocation bias, Apprehension bias, Ascertainment bias, Attrition bias, Availability bias, Biases of rhetoric, Centripetal bias, Chronological bias, Collider bias, Compliance bias, Confirmation bias, Confounding, Confounding by indication, Data-dredging bias, Detection bias, Diagnostic access bias, Diagnostic suspicion bias, Differential Reference bias, Hawthorne effect, Hot stuff bias, Hypothetical bias, Immortal time bias, Incorporation bias, Industry Sponsorship bias, Information bias, Informed presence bias, Insensitive measure bias, Lack of blinding, Language bias, Lead time bias, Mimicry bias, Misclassification bias, Non-contemporaneous control bias, Non-response bias, Novelty bias, Observer bias, One-sided reference bias, Outcome reporting bias, Partial reference bias, Perception bias, Performance bias, Popularity bias, Positive results bias, Prevalence-incidence (Neyman) bias, Previous opinion bias, Publication bias, Recall bias, Referral filter bias, Reporting biases, Selection bias, Spectrum bias, Spin bias, Starting time bias, Substitution game bias, Unacceptability bias, Unacceptable disease bias, Unmasking (detection signal) bias, Verification bias, Volunteer bias, Wrong sample size bias, Link for e-copy: https://catalogofbias.org/biases/ Format of e-copy: Website Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=4900