"Bayes Theorem" 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.
A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.
| Descriptor ID |
D001499
|
| MeSH Number(s) |
E05.318.740.600.200 N05.715.360.750.625.150 N06.850.520.830.600.200
|
| Concept/Terms |
Bayesian Analysis- Bayesian Analysis
- Bayesian Approach
- Approach, Bayesian
- Approachs, Bayesian
- Bayesian Approachs
- Analysis, Bayesian
|
Below are MeSH descriptors whose meaning is more general than "Bayes Theorem".
Below are MeSH descriptors whose meaning is more specific than "Bayes Theorem".
This graph shows the total number of publications written about "Bayes Theorem" by people in this website by year, and whether "Bayes Theorem" 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 |
|---|
| 2000 | 0 | 1 | 1 |
| 2001 | 0 | 1 | 1 |
| 2002 | 1 | 0 | 1 |
| 2005 | 0 | 1 | 1 |
| 2007 | 1 | 0 | 1 |
| 2008 | 0 | 1 | 1 |
| 2013 | 0 | 1 | 1 |
| 2016 | 0 | 1 | 1 |
| 2017 | 0 | 1 | 1 |
| 2018 | 1 | 1 | 2 |
| 2020 | 0 | 1 | 1 |
| 2021 | 0 | 2 | 2 |
| 2023 | 0 | 3 | 3 |
| 2024 | 0 | 1 | 1 |
| 2025 | 0 | 1 | 1 |
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles.
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A Bayesian Hierarchical Longitudinal Model for Estimation of Central Visual Field Rates of Change in Glaucoma. Transl Vis Sci Technol. 2025 Sep 02; 14(9):24.
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A Bayesian Hierarchical Spatial Longitudinal Model Improves Estimation of Local Macular Rates of Change in Glaucomatous Eyes. Transl Vis Sci Technol. 2024 01 02; 13(1):26.
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ClinGen guidance for use of the PP1/BS4 co-segregation and PP4 phenotype specificity criteria for sequence variant pathogenicity classification. Am J Hum Genet. 2024 01 04; 111(1):24-38.
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Cost Variation in Bariatric Surgery Across the United States. Am Surg. 2023 Oct; 89(10):4061-4065.
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Association of Blood Pressure With Rates of Macular Ganglion Cell Complex Thinning in Patients With Glaucoma. JAMA Ophthalmol. 2023 03 01; 141(3):251-257.
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Proteomic Profiling of the Substantia Nigra to Identify Determinants of Lewy Body Pathology and Dopaminergic Neuronal Loss. J Proteome Res. 2021 05 07; 20(5):2266-2282.
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Estimating Ganglion Cell Complex Rates of Change With Bayesian Hierarchical Models. Transl Vis Sci Technol. 2021 04 01; 10(4):15.
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'Cost-benefit analysis comparing trough, two-level AUC, and Bayesian AUC dosing for vancomycin': authors' reply. Clin Microbiol Infect. 2021 06; 27(6):929-930.
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Cost-benefit analysis comparing trough, two-level AUC and Bayesian AUC dosing for vancomycin. Clin Microbiol Infect. 2021 Sep; 27(9):1346.e1-1346.e7.
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A Bayesian framework for efficient and accurate variant prediction. PLoS One. 2018; 13(9):e0203553.