"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,
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Year | Major Topic | Minor Topic | Total |
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1999 | 0 | 1 | 1 |
2001 | 0 | 1 | 1 |
2003 | 0 | 1 | 1 |
2004 | 0 | 1 | 1 |
2005 | 1 | 1 | 2 |
2006 | 1 | 3 | 4 |
2007 | 0 | 4 | 4 |
2008 | 0 | 2 | 2 |
2009 | 0 | 4 | 4 |
2010 | 0 | 2 | 2 |
2011 | 0 | 8 | 8 |
2012 | 0 | 8 | 8 |
2013 | 4 | 8 | 12 |
2014 | 2 | 6 | 8 |
2015 | 0 | 7 | 7 |
2016 | 3 | 5 | 8 |
2017 | 0 | 5 | 5 |
2018 | 1 | 5 | 6 |
2019 | 0 | 9 | 9 |
2020 | 0 | 10 | 10 |
2021 | 0 | 18 | 18 |
2022 | 0 | 22 | 22 |
2023 | 1 | 16 | 17 |
2024 | 5 | 11 | 16 |
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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Robust Bayesian graphical regression models for assessing tumor heterogeneity in proteomic networks. Biometrics. 2025 Jan 07; 81(1).
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Global burden of tuberculous meningitis in children aged 0-14 years in 2019: a mathematical modelling study. Lancet Glob Health. 2025 Jan; 13(1):e59-e68.
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Abortion care preferences and trade-offs when traveling out-of-state for facility-based services: findings from a discrete choice experiment. BMC Health Serv Res. 2024 Dec 18; 24(1):1573.
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Regenerative therapies for erectile dysfunction: a systematic review, Bayesian network meta-analysis, and meta-regression. J Sex Med. 2024 Dec 01; 21(12):1152-1158.
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Tumor-associated antigen prediction using a single-sample gene expression state inference algorithm. Cell Rep Methods. 2024 Nov 18; 4(11):100906.
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Bayesian Safety and Futility Monitoring in Phase II Trials Using One Utility-Based Rule. Stat Med. 2024 Dec 20; 43(29):5583-5595.
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Estimating sojourn time and sensitivity of screening for ovarian cancer using a Bayesian framework. J Natl Cancer Inst. 2024 Nov 01; 116(11):1798-1806.
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Bayesian Model Projecting Cardiovascular Disease Related Mortality Trends in the United States. J Am Heart Assoc. 2024 Nov 05; 13(21):e035922.
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Urinary heavy metals and overall survival of advanced high-grade serous ovarian cancer: A nested case-control study in China. Ecotoxicol Environ Saf. 2024 Nov 01; 286:117176.
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A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data. Stat Methods Med Res. 2024 Oct; 33(10):1859-1876.