"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 |
|---|
| 1995 | 1 | 0 | 1 |
| 1998 | 0 | 1 | 1 |
| 2001 | 0 | 1 | 1 |
| 2002 | 0 | 1 | 1 |
| 2005 | 1 | 0 | 1 |
| 2007 | 1 | 0 | 1 |
| 2008 | 1 | 1 | 2 |
| 2009 | 1 | 2 | 3 |
| 2011 | 3 | 1 | 4 |
| 2012 | 0 | 1 | 1 |
| 2013 | 0 | 2 | 2 |
| 2014 | 1 | 5 | 6 |
| 2015 | 0 | 2 | 2 |
| 2016 | 1 | 5 | 6 |
| 2017 | 0 | 1 | 1 |
| 2018 | 0 | 2 | 2 |
| 2019 | 0 | 1 | 1 |
| 2020 | 0 | 5 | 5 |
| 2021 | 0 | 5 | 5 |
| 2022 | 0 | 6 | 6 |
| 2023 | 0 | 3 | 3 |
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles.
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PFAS concentrations in early and mid-pregnancy and risk of gestational diabetes mellitus in a nested case-control study within the ethnically and racially diverse PETALS cohort. BMC Pregnancy Childbirth. 2023 Sep 13; 23(1):657.
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Associations of prenatal exposure to a mixture of persistent organic pollutants with social traits and cognitive and adaptive function in early childhood: Findings from the EARLI study. Environ Res. 2023 07 15; 229:115978.
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Birth Outcomes in Relation to Prenatal Exposure to Per- and Polyfluoroalkyl Substances and Stress in the Environmental Influences on Child Health Outcomes (ECHO) Program. Environ Health Perspect. 2023 03; 131(3):37006.
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Urinary Phenols in Early to Midpregnancy and Risk of Gestational Diabetes Mellitus: A Longitudinal Study in a Multiracial Cohort. Diabetes. 2022 12 01; 71(12):2539-2551.
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Antidepressant drug-drug-drug interactions associated with unintentional traumatic injury: Screening for signals in real-world data. Clin Transl Sci. 2023 Feb; 16(2):326-337.
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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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Development and Validation of a Model for Prediction of End-Stage Liver Disease in People With HIV. J Acquir Immune Defic Syndr. 2022 04 01; 89(4):396-404.
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Signals of Muscle Relaxant Drug Interactions Associated with Unintentional Traumatic Injury: A Population-Based Screening Study. CNS Drugs. 2022 Apr; 36(4):389-400.
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Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images. Cancer Biomark. 2022; 33(2):211-217.
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Do contemporary antiretrovirals increase the risk of end-stage liver disease? Signals from patients starting therapy in the North American AIDS Cohort Collaboration on Research and Design. Pharmacoepidemiol Drug Saf. 2022 02; 31(2):214-224.