 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 |
|---|
| 1995 | 0 | 2 | 2 | | 1996 | 1 | 5 | 6 | | 1997 | 0 | 1 | 1 | | 1998 | 0 | 1 | 1 | | 1999 | 0 | 4 | 4 | | 2000 | 0 | 2 | 2 | | 2001 | 0 | 2 | 2 | | 2002 | 0 | 2 | 2 | | 2003 | 0 | 2 | 2 | | 2004 | 0 | 1 | 1 | | 2005 | 3 | 4 | 7 | | 2006 | 3 | 2 | 5 | | 2007 | 0 | 7 | 7 | | 2008 | 0 | 3 | 3 | | 2009 | 1 | 4 | 5 | | 2010 | 1 | 3 | 4 | | 2011 | 0 | 6 | 6 | | 2012 | 1 | 3 | 4 | | 2013 | 3 | 4 | 7 | | 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 | 18 | 19 | | 2022 | 2 | 13 | 15 | | 2023 | 0 | 4 | 4 | | 2024 | 4 | 6 | 10 | | 2025 | 0 | 5 | 5 |
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Below are the most recent publications written about "Bias" by people in Profiles.
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Wilson MP, Erlandson KM, Moore CM, MaWhinney S. The effects of missing data due to study dropout on longitudinal analysis inference using outcome-dependent sampling. Int J Epidemiol. 2025 Aug 18; 54(5).
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Thompson T, Gurfinkel D, Silveira L, Klamut N, Ferdinandsen K, Fu C, Ananth AL, Lane JB, Marsh ED, Neul JL, Percy AK, Benke TA. Medical Biases and Misconceptions Impact Diagnoses in Males With Loss of Function MECP2 Variants. Am J Med Genet A. 2025 Oct; 197(10):e64147.
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Rotter T, Kinsman LD, Alsius A, Scott SD, Lawal A, Ronellenfitsch U, Plishka C, Groot G, Woods P, Coulson C, Bakel LA, Sears K, Ross-White A, Machotta A, Schultz TJ. Clinical pathways for secondary care and the effects on professional practice, patient outcomes, length of stay and hospital costs. Cochrane Database Syst Rev. 2025 05 14; 5:CD006632.
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Carry PM, Keeter C, Smith H, Taylor K, Hadley-Miller N, Howell DR. Re-Evaluating the Impact of Including Patients with Bilateral Conditions in Orthopaedic Clinical Research Studies: When 1 + 1 Does Not Equal 2. J Bone Joint Surg Am. 2025 May 07; 107(12):e62.
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Byrnes JEK, Dee LE. Causal Inference With Observational Data and Unobserved Confounding Variables. Ecol Lett. 2025 Jan; 28(1):e70023.
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Lewis NM, Harker EJ, Leis A, Zhu Y, Talbot HK, Grijalva CG, Halasa N, Chappell JD, Johnson CA, Rice TW, Casey JD, Lauring AS, Gaglani M, Ghamande S, Columbus C, Steingrub JS, Shapiro NI, Duggal A, Felzer J, Prekker ME, Peltan ID, Brown SM, Hager DN, Gong MN, Mohamed A, Exline MC, Khan A, Wilson JG, Mosier J, Qadir N, Chang SY, Ginde AA, Mohr NM, Mallow C, Harris ES, Johnson NJ, Srinivasan V, Gibbs KW, Kwon JH, Vaughn IA, Ramesh M, Safdar B, DeCuir J, Surie D, Dawood FS, Ellington S, Self WH, Martin ET. Assessment and mitigation of bias in influenza and COVID-19 vaccine effectiveness analyses - IVY Network, September 1, 2022-March 30, 2023. Vaccine. 2025 Jan 01; 43(Pt 2):126492.
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Kang C, Lo JE, Zhang H, Ng SM, Lin JC, Scott IU, Kalpathy-Cramer J, Liu SA, Greenberg PB. Artificial intelligence for diagnosing exudative age-related macular degeneration. Cochrane Database Syst Rev. 2024 10 17; 10:CD015522.
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Brent J, Weiss ST. Wastewater and the Elimination of Bias. JAMA Netw Open. 2024 09 03; 7(9):e2432608.
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Linn S, Lawley SD, Karamched BR, Kilpatrick ZP, Josic K. Fast decisions reflect biases; slow decisions do not. Phys Rev E. 2024 Aug; 110(2-1):024305.
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Qureshi R, Naaman K, Quan NG, Mayo-Wilson E, Page MJ, Cornelius V, Chou R, Boutron I, Golder S, Bero L, Doshi P, Vassar M, Meursinge Reynders R, Li T. Development and Evaluation of a Framework for Identifying and Addressing Spin for Harms in Systematic Reviews of Interventions. Ann Intern Med. 2024 Aug; 177(8):1089-1098.
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