"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
|
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 | 0 | 2 | 2 |
1995 | 0 | 1 | 1 |
1996 | 0 | 2 | 2 |
1997 | 1 | 1 | 2 |
1998 | 0 | 1 | 1 |
1999 | 0 | 2 | 2 |
2000 | 0 | 2 | 2 |
2001 | 0 | 2 | 2 |
2002 | 0 | 1 | 1 |
2003 | 0 | 3 | 3 |
2004 | 1 | 4 | 5 |
2005 | 0 | 3 | 3 |
2006 | 0 | 3 | 3 |
2007 | 5 | 2 | 7 |
2008 | 0 | 4 | 4 |
2009 | 0 | 4 | 4 |
2010 | 0 | 3 | 3 |
2011 | 1 | 0 | 1 |
2012 | 0 | 5 | 5 |
2013 | 1 | 3 | 4 |
2014 | 3 | 4 | 7 |
2016 | 0 | 1 | 1 |
2017 | 2 | 3 | 5 |
2018 | 1 | 1 | 2 |
2019 | 2 | 4 | 6 |
2020 | 0 | 4 | 4 |
2021 | 0 | 7 | 7 |
2022 | 1 | 6 | 7 |
2023 | 0 | 6 | 6 |
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Below are the most recent publications written about "Bias" by people in Profiles.
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Risk factors for SARS-CoV-2 infection during the early stages of the COVID-19 pandemic: a systematic literature review. Front Public Health. 2023; 11:1178167.
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Evolutionary Shortcuts via Multinucleotide Substitutions and Their Impact on Natural Selection Analyses. Mol Biol Evol. 2023 07 05; 40(7).
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A systematic review with meta-analysis of cognitive bias modification interventions for anger and aggression. Behav Res Ther. 2023 08; 167:104344.
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Steroid Dose and Duration, Immortal Time Bias, and Survival After High-grade Immune-Related Adverse Events. JAMA Oncol. 2023 05 01; 9(5):723-724.
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Effects of knowledge and implicit biases on pharmacy students' decision-making regarding pre-exposure prophylaxis for HIV prevention: A vignette-based experimental study. Curr Pharm Teach Learn. 2023 02; 15(2):139-148.
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Use of a Vanadate Oxidation Conjugated Bilirubin Assay to Reduce Test Cancellations Resulting from Hemolyzed Specimens in Pediatric Patients. Am J Clin Pathol. 2023 01 04; 159(1):6-9.
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Bias in Assessment Needs Urgent Attention-No Rest for the "Wicked". JAMA Netw Open. 2022 11 01; 5(11):e2243143.
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The Role of Social Biases, Race, and Condom Use in Willingness to Prescribe HIV Pre-exposure Prophylaxis to MSM: An Experimental, Vignette-Based Study. J Acquir Immune Defic Syndr. 2022 12 01; 91(4):353-363.
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Estimating Cancer Screening Sensitivity and Specificity Using Healthcare Utilization Data: Defining the Accuracy Assessment Interval. Cancer Epidemiol Biomarkers Prev. 2022 08 02; 31(8):1517-1520.
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Event-level prediction of urban crime reveals a signature of enforcement bias in US cities. Nat Hum Behav. 2022 08; 6(8):1056-1068.