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Dissecting racial bias in an algorithm used to manage the health of populations

open access: yesScience, 2019
Racial bias in health algorithms The U.S. health care system uses commercial algorithms to guide health decisions. Obermeyer et al. find evidence of racial bias in one widely used algorithm, such that Black patients assigned the same level of risk by the
Ziad Obermeyer, Sendhil Mullainathan
exaly   +2 more sources

Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression

open access: yesInternational Journal of Epidemiology, 2015
Background: The number of Mendelian randomization analyses including large numbers of genetic variants is rapidly increasing. This is due to the proliferation of genome-wide association studies, and the desire to obtain more precise estimates of causal ...
Jack Bowden   +2 more
exaly   +2 more sources
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Catalogue of bias: novelty bias

BMJ Evidence-Based Medicine, 2023
Novelty bias is the tendency for an intervention to appear better when it is new. It is also known as the ‘novel agent effects’ or ‘fading of reported effectiveness’.1 2 The mechanisms by which interventions appear better when new or new for a specific purpose are unknown and may involve other forms of bias having a more significant effect when an ...
Luo, Y, Heneghan, C, Persaud, N
openaire   +3 more sources

On bias

Acta Orthopaedica Scandinavica, 1994
We performed a search in Medline to assess the quality of clinical journals in orthopedics from the point of view of study design. 3 levels of quality were chosen: prospective studies, random allocation or double-blind methods and randomized controlled trials; all entries were Medical Subject Headings (MeSH).
L, Ryd, L, Dahlberg
openaire   +2 more sources

Catalogue of bias: observer bias

BMJ Evidence-Based Medicine, 2018
This article is part of a series featured from the Catalogue of Bias introduced in this volume ofBMJEvidence-Based Medicine that describes biases and outlines their potential impact in research studies. Observer bias is systematic discrepancy from the truth during the process of observing and recording information for a study.
Mahtani, K   +3 more
openaire   +3 more sources

Bias measuring bias

Journal of Health Services Research & Policy, 2002
The British National Health Service and other publicly funded health systems operate on the principle that health care should be provided solely on the basis of need. Yet the literature abounds with reports of bias in health care use. In order to defend such a charge, two conditions must be met.
openaire   +2 more sources

Catalogue of bias: allocation bias

BMJ Evidence-Based Medicine, 2018
This article is part of a series of articles featuring the Catalogue of Bias introduced in this volume ofBMJ Evidence-Based Medicinethat describes allocation bias and outlines its potential impact on research studies and the preventive steps to minimise its risk.
Nunan, D, Heneghan, C, Spencer, E
openaire   +2 more sources

Fight bias with bias

2023
two interventions (instruction vs. ranking-biased interventions)
Tanaka, Yuko   +2 more
openaire   +1 more source

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