 Bayes Theorem
"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
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| Concept/Terms |
Bayesian Analysis- Bayesian Analysis
- Bayesian Approach
- Approach, Bayesian
- Approachs, Bayesian
- Bayesian Approachs
- Analysis, Bayesian
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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 |
|---|
| 2001 | 0 | 1 | 1 | | 2004 | 0 | 1 | 1 | | 2006 | 0 | 2 | 2 | | 2007 | 0 | 1 | 1 | | 2008 | 0 | 2 | 2 | | 2009 | 0 | 1 | 1 | | 2010 | 1 | 0 | 1 | | 2011 | 0 | 1 | 1 | | 2012 | 0 | 1 | 1 | | 2013 | 0 | 1 | 1 | | 2014 | 0 | 1 | 1 | | 2015 | 0 | 2 | 2 |
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles.
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Tsiamyrtzis P, Sobas F, Négrier C. Use of prior manufacturer specifications with Bayesian logic eludes preliminary phase issues in quality control: an example in a hemostasis laboratory. Blood Coagul Fibrinolysis. 2015 Jul; 26(5):590-6.
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Faghih RT, Barbieri R, Paulk AC, Asaad WF, Brown EN, Dougherty DD, Widge AS, Eskandar EN, Eden UT. Estimating a dynamic state to relate neural spiking activity to behavioral signals during cognitive tasks. Conf Proc IEEE Eng Med Biol Soc. 2015; 2015:7808-13.
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Sobas F, Tsiamyrtzis P, Benattar N, Lienhart A, Négrier C. A comparison of the 12s rule and Bayesian approach for quality control: application to one-stage clotting factor VIII assay. Blood Coagul Fibrinolysis. 2014 Sep; 25(6):634-43.
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Varkey DA, Pitcher TJ, McAllister MK, Sumaila RS. Bayesian decision-network modeling of multiple stakeholders for reef ecosystem restoration in the coral triangle. Conserv Biol. 2013 Jun; 27(3):459-69.
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Luo S, Chan W, Detry MA, Massman PJ, Doody RS. Binomial regression with a misclassified covariate and outcome. Stat Methods Med Res. 2016 Feb; 25(1):101-17.
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Padilla J, Simmons GH, Davis JW, Whyte JJ, Zderic TW, Hamilton MT, Bowles DK, Laughlin MH. Impact of exercise training on endothelial transcriptional profiles in healthy swine: a genome-wide microarray analysis. Am J Physiol Heart Circ Physiol. 2011 Aug; 301(2):H555-64.
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Freeman TC, Champion RA, Warren PA. A Bayesian model of perceived head-centered velocity during smooth pursuit eye movement. Curr Biol. 2010 Apr 27; 20(8):757-62.
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Shen Y, Wan Z, Coarfa C, Drabek R, Chen L, Ostrowski EA, Liu Y, Weinstock GM, Wheeler DA, Gibbs RA, Yu F. A SNP discovery method to assess variant allele probability from next-generation resequencing data. Genome Res. 2010 Feb; 20(2):273-80.
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Tan S, Jiao L, Kakadiaris IA. Wavelet-based Bayesian image estimation: from marginal and bivariate prior models to multivariate prior models. IEEE Trans Image Process. 2008 Apr; 17(4):469-81.
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Situ N, Yuan X, Chen J, Zouridakis G. Malignant melanoma detection by Bag-of-Features classification. Conf Proc IEEE Eng Med Biol Soc. 2008; 2008:3110-3.
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