Bias
"Bias" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.
Descriptor ID |
D015982
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MeSH Number(s) |
N05.715.350.150 N06.850.490.500
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Concept/Terms |
Bias- Bias
- Epidemiologic Biases
- Biase, Epidemiologic
- Biases, Epidemiologic
- Epidemiologic Biase
- Biases
- Bias, Epidemiologic
Ecological Bias- Ecological Bias
- Ecological Biases
- Bias, Ecological
- Fallacy, Ecological
- Ecological Fallacies
- Ecological Fallacy
- Fallacies, Ecological
- Biases, Ecological
Outcome Measurement Errors- Outcome Measurement Errors
- Error, Outcome Measurement
- Errors, Outcome Measurement
- Outcome Measurement Error
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Below are MeSH descriptors whose meaning is more general than "Bias".
Below are MeSH descriptors whose meaning is more specific than "Bias".
This graph shows the total number of publications written about "Bias" by people in this website by year, and whether "Bias" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
Year | Major Topic | Minor Topic | Total |
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1994 | 0 | 2 | 2 | 1995 | 0 | 2 | 2 | 1996 | 1 | 5 | 6 | 1997 | 0 | 1 | 1 | 1998 | 0 | 1 | 1 | 1999 | 0 | 4 | 4 | 2000 | 0 | 1 | 1 | 2001 | 0 | 1 | 1 | 2002 | 0 | 2 | 2 | 2005 | 3 | 4 | 7 | 2006 | 2 | 2 | 4 | 2007 | 0 | 7 | 7 | 2008 | 0 | 3 | 3 | 2009 | 1 | 3 | 4 | 2010 | 1 | 3 | 4 | 2011 | 0 | 6 | 6 | 2012 | 0 | 3 | 3 | 2013 | 3 | 3 | 6 | 2014 | 4 | 5 | 9 | 2015 | 1 | 4 | 5 | 2016 | 0 | 3 | 3 | 2017 | 1 | 4 | 5 | 2018 | 3 | 10 | 13 | 2019 | 4 | 3 | 7 | 2020 | 0 | 10 | 10 | 2021 | 1 | 16 | 17 | 2022 | 2 | 11 | 13 | 2023 | 0 | 3 | 3 | 2024 | 0 | 1 | 1 |
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Below are the most recent publications written about "Bias" by people in Profiles.
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Toews I, Anglemyer A, Nyirenda JL, Alsaid D, Balduzzi S, Grummich K, Schwingshackl L, Bero L. Healthcare outcomes assessed with observational study designs compared with those assessed in randomized trials: a meta-epidemiological study. Cochrane Database Syst Rev. 2024 01 04; 1:MR000034.
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Page MJ, Sterne JAC, Boutron I, Hr?bjartsson A, Kirkham JJ, Li T, Lundh A, Mayo-Wilson E, McKenzie JE, Stewart LA, Sutton AJ, Bero L, Dunn AG, Dwan K, Elbers RG, Kanukula R, Meerpohl JJ, Turner EH, Higgins JPT. ROB-ME: a tool for assessing risk of bias due to missing evidence in systematic reviews with meta-analysis. BMJ. 2023 11 20; 383:e076754.
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Thallapureddy S, Sherratt F, Bhandari S, Hallowell M, Hansen H. Exploring bias in incident investigations: An empirical examination using construction case studies. J Safety Res. 2023 09; 86:336-345.
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Kalata K, Guerrieri J, Freeman B. Health Equity Rounds: An Interdisciplinary Collaborative Case Conference Addressing Biases and Inequities in Pediatric Health Care. J Pediatr. 2023 07; 258:113445.
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Stoddard J, Haller SP, Costa V, Brotman MA, Jones M. A Computational Model Reveals Learning Dynamics During Interpretation Bias Training With Clinical Applications. Biol Psychiatry Cogn Neurosci Neuroimaging. 2023 10; 8(10):1033-1040.
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Timmons AC, Duong JB, Simo Fiallo N, Lee T, Vo HPQ, Ahle MW, Comer JS, Brewer LC, Frazier SL, Chaspari T. A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health. Perspect Psychol Sci. 2023 09; 18(5):1062-1096.
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Grotzinger AD, Keller MC. Potential bias in genetic correlations. Science. 2022 11 18; 378(6621):709-710.
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Lira B, O'Brien JM, Pe?a PA, Galla BM, D'Mello S, Yeager DS, Defnet A, Kautz T, Munkacsy K, Duckworth AL. Large studies reveal how reference bias limits policy applications of self-report measures. Sci Rep. 2022 11 10; 12(1):19189.
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Amdani S, Conway J, Kleinmahon J, Auerbach S, Hsu D, Cousino MK, Kaufman B, Alejos J, Cruz JH, Lee HY, Rudraraju R, Kirklin JK, Asante-Korang A. Race and Socioeconomic Bias in Pediatric?Cardiac Transplantation. JACC Heart Fail. 2023 01; 11(1):19-26.
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Eissa TL, Gold JI, Josic K, Kilpatrick ZP. Suboptimal human inference can invert the bias-variance trade-off for decisions with asymmetric evidence. PLoS Comput Biol. 2022 07; 18(7):e1010323.
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