 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 |
|---|
| 2000 | 0 | 1 | 1 | | 2001 | 0 | 2 | 2 | | 2002 | 0 | 1 | 1 | | 2003 | 0 | 2 | 2 | | 2004 | 0 | 5 | 5 | | 2005 | 1 | 2 | 3 | | 2006 | 2 | 5 | 7 | | 2007 | 3 | 5 | 8 | | 2008 | 0 | 6 | 6 | | 2009 | 2 | 2 | 4 | | 2010 | 2 | 10 | 12 | | 2011 | 3 | 6 | 9 | | 2012 | 3 | 9 | 12 | | 2013 | 1 | 7 | 8 | | 2014 | 1 | 8 | 9 | | 2015 | 2 | 17 | 19 | | 2016 | 1 | 14 | 15 | | 2017 | 2 | 10 | 12 | | 2018 | 1 | 16 | 17 | | 2019 | 0 | 8 | 8 | | 2020 | 0 | 4 | 4 |
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles.
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Vestal BE, Moore CM, Wynn E, Saba L, Fingerlin T, Kechris K. MCMSeq: Bayesian hierarchical modeling of clustered and repeated measures RNA sequencing experiments. BMC Bioinformatics. 2020 Aug 28; 21(1):375.
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Salerno J, Bailey K, Gaughan AE, Stevens FR, Hilton T, Cassidy L, Drake MD, Pricope NG, Hartter J. Wildlife impacts and vulnerable livelihoods in a transfrontier conservation landscape. Conserv Biol. 2020 08; 34(4):891-902.
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Zimmerman JJ, Banks R, Berg RA, Zuppa A, Newth CJ, Wessel D, Pollack MM, Meert KL, Hall MW, Quasney M, Sapru A, Carcillo JA, McQuillen PS, Mourani PM, Wong H, Chima RS, Holubkov R, Coleman W, Sorenson S, Varni JW, McGalliard J, Haaland W, Whitlock K, Dean JM, Reeder RW. Critical Illness Factors Associated With Long-Term Mortality and Health-Related Quality of Life Morbidity Following Community-Acquired Pediatric Septic Shock. Crit Care Med. 2020 03; 48(3):319-328.
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Nawrocki TW, Carlson ML, Osnas JLD, Trammell EJ, Witmer FDW. Regional mapping of species-level continuous foliar cover: beyond categorical vegetation mapping. Ecol Appl. 2020 06; 30(4):e02081.
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Muñoz-Pichuante D, Villa Zapata L, Cabrera S, Lagos X, Grandjean J. Dosage of phenytoin in neurocritical patients using Bayesian algorithms: a pilot study. Drug Metab Pers Ther. 2019 12 18; 34(4).
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Yankowitz LD, Schultz RT, Parish-Morris J. Pre- and Paralinguistic Vocal Production in ASD: Birth Through School Age. Curr Psychiatry Rep. 2019 11 20; 21(12):126.
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Kordas G, Rudra P, Hendricks A, Saba L, Kechris K. Insight into genetic regulation of miRNA in mouse brain. BMC Genomics. 2019 Nov 13; 20(1):849.
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Smith CCR, Flaxman SM. Leveraging whole genome sequencing data for demographic inference with approximate Bayesian computation. Mol Ecol Resour. 2020 Jan; 20(1):125-139.
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Komatsu KJ, Avolio ML, Lemoine NP, Isbell F, Grman E, Houseman GR, Koerner SE, Johnson DS, Wilcox KR, Alatalo JM, Anderson JP, Aerts R, Baer SG, Baldwin AH, Bates J, Beierkuhnlein C, Belote RT, Blair J, Bloor JMG, Bohlen PJ, Bork EW, Boughton EH, Bowman WD, Britton AJ, Cahill JF, Chaneton E, Chiariello NR, Cheng J, Collins SL, Cornelissen JHC, Du G, Eskelinen A, Firn J, Foster B, Gough L, Gross K, Hallett LM, Han X, Harmens H, Hovenden MJ, Jagerbrand A, Jentsch A, Kern C, Klanderud K, Knapp AK, Kreyling J, Li W, Luo Y, McCulley RL, McLaren JR, Megonigal JP, Morgan JW, Onipchenko V, Pennings SC, Prevéy JS, Price JN, Reich PB, Robinson CH, Russell FL, Sala OE, Seabloom EW, Smith MD, Soudzilovskaia NA, Souza L, Suding K, Suttle KB, Svejcar T, Tilman D, Tognetti P, Turkington R, White S, Xu Z, Yahdjian L, Yu Q, Zhang P, Zhang Y. Global change effects on plant communities are magnified by time and the number of global change factors imposed. Proc Natl Acad Sci U S A. 2019 09 03; 116(36):17867-17873.
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Kanwar MK, Lohmueller LC, Teuteberg J, Kormos RL, Rogers JG, Benza RL, Lindenfeld J, McIlvennan C, Bailey SH, Murali S, Antaki JF. Risk Assessment in Patients with a Left Ventricular Assist Device Across INTERMACS Profiles Using Bayesian Analysis. ASAIO J. 2019 07; 65(5):436-441.
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