"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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1995 | 0 | 1 | 1 |
1996 | 0 | 1 | 1 |
1997 | 0 | 1 | 1 |
1998 | 0 | 3 | 3 |
2000 | 0 | 2 | 2 |
2003 | 0 | 3 | 3 |
2004 | 1 | 1 | 2 |
2006 | 1 | 3 | 4 |
2007 | 0 | 1 | 1 |
2008 | 1 | 2 | 3 |
2009 | 2 | 3 | 5 |
2010 | 0 | 3 | 3 |
2011 | 0 | 3 | 3 |
2012 | 0 | 1 | 1 |
2013 | 2 | 2 | 4 |
2014 | 1 | 3 | 4 |
2015 | 0 | 1 | 1 |
2016 | 0 | 2 | 2 |
2017 | 0 | 3 | 3 |
2018 | 1 | 0 | 1 |
2019 | 1 | 3 | 4 |
2020 | 2 | 4 | 6 |
2021 | 0 | 3 | 3 |
2022 | 0 | 3 | 3 |
2023 | 0 | 1 | 1 |
2024 | 1 | 0 | 1 |
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Below are the most recent publications written about "Bias" by people in Profiles.
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Bias and negative values of COVID-19 vaccine effectiveness estimates from a test-negative design without controlling for prior SARS-CoV-2 infection. Nat Commun. 2024 Nov 20; 15(1):10062.
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The?application of lag times in cancer pharmacoepidemiology: a narrative review. Ann Epidemiol. 2023 08; 84:25-32.
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High-dimensional propensity scores for empirical covariate selection in secondary database studies: Planning, implementation, and reporting. Pharmacoepidemiol Drug Saf. 2023 Feb; 32(2):93-106.
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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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Negative Control Exposures: Causal Effect Identifiability and Use in Probabilistic-bias and Bayesian Analyses With Unmeasured Confounders. Epidemiology. 2022 Nov 01; 33(6):832-839.
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Interventions for reducing sedentary behaviour in community-dwelling older adults. Cochrane Database Syst Rev. 2021 06 25; 6:CD012784.
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The positive effect of immune checkpoint inhibitor-induced thyroiditis on overall survival accounting for immortal time bias: a retrospective cohort study of 6596 patients. Ann Oncol. 2021 08; 32(8):1050-1051.
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Investigating Bias from Missing Data in an Electronic Health Records-Based Study of Weight Loss After Bariatric Surgery. Obes Surg. 2021 05; 31(5):2125-2135.
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Association Between Alzheimer Disease and Cancer With Evaluation of Study Biases: A Systematic Review and Meta-analysis. JAMA Netw Open. 2020 11 02; 3(11):e2025515.
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Consequences of Depletion of Susceptibles for Hazard Ratio Estimators Based on Propensity Scores. Epidemiology. 2020 11; 31(6):806-814.