"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
|
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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2002 | 1 | 0 | 1 |
2005 | 0 | 1 | 1 |
2006 | 1 | 1 | 2 |
2007 | 0 | 1 | 1 |
2008 | 1 | 1 | 2 |
2009 | 0 | 1 | 1 |
2012 | 0 | 1 | 1 |
2013 | 0 | 1 | 1 |
2014 | 1 | 1 | 2 |
2015 | 0 | 2 | 2 |
2016 | 1 | 4 | 5 |
2017 | 18 | 48 | 66 |
2018 | 19 | 55 | 74 |
2019 | 2 | 14 | 16 |
2020 | 2 | 21 | 23 |
2021 | 2 | 30 | 32 |
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Below are the most recent publications written about "Bias" by people in Profiles.
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Prognostic factors for adverse outcomes in patients with COVID-19: a field-wide systematic review and meta-analysis. Eur Respir J. 2022 02; 59(2).
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Impact Evaluation of Coronavirus Disease 2019 Policy: A Guide to Common Design Issues. Am J Epidemiol. 2021 11 02; 190(11):2474-2486.
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Diemer and Swanson Reply to "Considerations Before Using Pandemic as Instrument". Am J Epidemiol. 2021 11 02; 190(11):2280-2283.
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Consider This Before Using the Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic as an Instrumental Variable in an Epidemiologic Study. Am J Epidemiol. 2021 11 02; 190(11):2275-2279.
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Elimination of covid-19: beware of surveillance bias. BMJ. 2021 09 03; 374:n2126.
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Avoiding bias in self-controlled case series studies of coronavirus disease 2019. Stat Med. 2021 11 30; 40(27):6197-6208.
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COVID-19 vaccine safety monitoring: Might differential healthcare seeking introduce detection bias into rates of medical events and cause false safety signals? Vaccine. 2021 12 17; 39(51):7366.
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Interventions for palliative symptom control in COVID-19 patients. Cochrane Database Syst Rev. 2021 08 23; 8:CD015061.
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Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan Classifiers. Sensors (Basel). 2021 Aug 23; 21(16).
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Do school closures and school reopenings affect community transmission of COVID-19? A systematic review of observational studies. BMJ Open. 2021 08 17; 11(8):e053371.