"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
|
MeSH Number(s) |
N05.715.350.150 N06.850.490.500
|
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
|
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 | 1 | 0 | 1 |
1995 | 0 | 1 | 1 |
1996 | 0 | 2 | 2 |
1997 | 0 | 5 | 5 |
1999 | 0 | 1 | 1 |
2000 | 0 | 2 | 2 |
2001 | 0 | 2 | 2 |
2002 | 0 | 3 | 3 |
2003 | 1 | 0 | 1 |
2005 | 0 | 2 | 2 |
2006 | 1 | 5 | 6 |
2007 | 0 | 5 | 5 |
2008 | 0 | 4 | 4 |
2009 | 1 | 0 | 1 |
2010 | 1 | 2 | 3 |
2011 | 2 | 4 | 6 |
2012 | 3 | 2 | 5 |
2013 | 1 | 0 | 1 |
2014 | 0 | 2 | 2 |
2015 | 2 | 2 | 4 |
2017 | 3 | 3 | 6 |
2018 | 2 | 5 | 7 |
2019 | 3 | 8 | 11 |
2020 | 0 | 5 | 5 |
2021 | 1 | 4 | 5 |
2022 | 0 | 2 | 2 |
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Below are the most recent publications written about "Bias" by people in Profiles.
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Cai C, Love BL, Yunusa I, Reeder CE. Applying mixture cure survival modeling to medication persistence analysis. Pharmacoepidemiol Drug Saf. 2022 07; 31(7):788-795.
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Duszynski TJ, Fadel W, Dixon BE, Yiannoutsos C, Halverson PK, Menachemi N. Successive Wave Analysis to Assess Nonresponse Bias in a Statewide Random Sample Testing Study for SARS-CoV-2. J Public Health Manag Pract. 2022 Jul-Aug 01; 28(4):E685-E691.
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Lauzon SD, Zhao W, Nietert PJ, Ciolino JD, Hill MD, Ramakrishnan V. Impact of minimal sufficient balance, minimization, and stratified permuted blocks on bias and power in the estimation of treatment effect in sequential clinical trials with a binary endpoint. Stat Methods Med Res. 2022 01; 31(1):184-204.
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Alsabek L, Al-Hakeem A, Alagha MA, Comisi JC. Efficacy of hydrophilic resin-based sealant: A systematic review and meta-analysis. J Dent. 2021 11; 114:103816.
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Davis ML, Neelon B, Nietert PJ, Burgette LF, Hunt KJ, Lawson AB, Egede LE. Propensity score matching for multilevel spatial data: accounting for geographic confounding in health disparity studies. Int J Health Geogr. 2021 02 27; 20(1):10.
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Addleman DA, Legge GE, Jiang YV. Simulated central vision loss impairs implicit location probability learning. Cortex. 2021 05; 138:241-252.
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Greige T, Norton C, Foster LD, Yeatts SD, Thornhill A, Griffin J, Wang J, Hrdlicka CM, Selim M. Why Are Women Less Represented in Intracerebral Hemorrhage Trials? Stroke. 2021 01; 52(2):442-446.
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DeSantis SM, Li R, Zhang Y, Wang X, Vernon SW, Tilley BC, Koch G. Intent-to-treat analysis of cluster randomized trials when clusters report unidentifiable outcome proportions. Clin Trials. 2020 12; 17(6):627-636.
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Freeman EE, McMahon DE, Lipoff JB, Rosenbach M, Kovarik C, Takeshita J, French LE, Thiers BH, Hruza GJ, Fox LP. Pernio-like skin lesions associated with COVID-19: A case series of 318 patients from 8 countries. J Am Acad Dermatol. 2020 08; 83(2):486-492.
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Dishaw L, Yost E, Arzuaga X, Luke A, Kraft A, Walker T, Thayer K. A novel study evaluation strategy in the systematic review of animal toxicology studies for human health assessments of environmental chemicals. Environ Int. 2020 08; 141:105736.