"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
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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.
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Year | Major Topic | Minor Topic | Total |
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2006 | 1 | 0 | 1 |
2011 | 1 | 3 | 4 |
2012 | 0 | 1 | 1 |
2013 | 0 | 4 | 4 |
2014 | 0 | 1 | 1 |
2015 | 0 | 3 | 3 |
2017 | 1 | 3 | 4 |
2018 | 0 | 2 | 2 |
2020 | 0 | 2 | 2 |
2021 | 0 | 8 | 8 |
2022 | 0 | 7 | 7 |
2023 | 0 | 4 | 4 |
2024 | 1 | 0 | 1 |
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles.
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Simultaneous alleviation of verification and reference standard biases in a community-based tuberculosis screening study using Bayesian latent class analysis. PLoS One. 2024; 19(6):e0305126.
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Genome-wide association analysis of cystatin-C kidney function in continental Africa. EBioMedicine. 2023 Sep; 95:104775.
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Using generalized structured additive regression models to determine factors associated with and clusters for COVID-19 hospital deaths in South Africa. BMC Public Health. 2023 05 05; 23(1):830.
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Association of infant Rib and Alp1 surface protein N-terminal domain immunoglobulin G and invasive Group B Streptococcal disease in young infants. Vaccine. 2023 03 03; 41(10):1679-1683.
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A new WHO bottle bioassay method to assess the susceptibility of mosquito vectors to public health insecticides: results from a WHO-coordinated multi-centre study. Parasit Vectors. 2023 Jan 20; 16(1):21.
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Malaria attributable fractions with changing transmission intensity: Bayesian latent class vs logistic models. Malar J. 2022 Nov 11; 21(1):326.
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Estimated Global Proportions of Individuals With Persistent Fatigue, Cognitive, and Respiratory Symptom Clusters Following Symptomatic COVID-19 in 2020 and 2021. JAMA. 2022 10 25; 328(16):1604-1615.
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Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS. PLoS One. 2022; 17(10):e0276116.
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Loss to Follow-Up Risk among HIV Patients on ART in Zimbabwe, 2009-2016: Hierarchical Bayesian Spatio-Temporal Modeling. Int J Environ Res Public Health. 2022 09 02; 19(17).
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Once-daily dolutegravir-based antiretroviral therapy in infants and children living with HIV from age 4 weeks: results from the below 14 kg cohort in the randomised ODYSSEY trial. Lancet HIV. 2022 09; 9(9):e638-e648.