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 (17021761). 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 likelihoods 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 

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 

1985  0  1  1  1992  1  0  1  1996  0  2  2  1997  0  1  1  1998  0  2  2  1999  2  0  2  2000  1  0  1  2001  1  3  4  2002  0  1  1  2003  1  3  4  2004  1  7  8  2005  1  9  10  2006  1  10  11  2007  3  9  12  2008  2  12  14  2009  1  11  12  2010  2  11  13  2011  1  13  14  2012  1  14  15  2013  1  13  14  2014  1  14  15  2015  0  11  11  2016  3  12  15  2017  3  10  13  2018  3  11  14  2019  1  9  10  2020  0  4  4 
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles.

Nakai Y, Gonoi W, Kurokawa R, Nishioka Y, Abe H, Arita J, Ushiku T, Hasegawa K, Abe O. MRI Findings of Liver Parenchyma Peripheral to Colorectal Liver Metastasis: A Potential Predictor of Longterm Prognosis. Radiology. 2020 12; 297(3):584594.

Dzubur E, Ponnada A, Nordgren R, Yang CH, Intille S, Dunton G, Hedeker D. MixWILD: A program for examining the effects of variance and slope of timevarying variables in intensive longitudinal data. Behav Res Methods. 2020 08; 52(4):14031427.

Masa JF, Mokhlesi B, Benítez I, Gómez de Terreros Caro FJ, SánchezQuiroga MÁ, Romero A, Caballero C, AlonsoÁlvarez ML, OrdaxCarbajo E, GómezGarcía T, González M, LópezMartín S, Marin JM, Martí S, DíazCambriles T, Chiner E, Egea C, Barca J, VázquezPolo FJ, Negrín MA, MartelEscobar M, Barbé F, CorralPeñafiel J. Costeffectiveness of positive airway pressure modalities in obesity hypoventilation syndrome with severe obstructive sleep apnoea. Thorax. 2020 06; 75(6):459467.

Fachal L, Aschard H, Beesley J, Barnes DR, Allen J, Kar S, Pooley KA, Dennis J, Michailidou K, Turman C, Soucy P, Lemaçon A, Lush M, Tyrer JP, Ghoussaini M, Moradi Marjaneh M, Jiang X, Agata S, Aittomäki K, Alonso MR, Andrulis IL, AntonCulver H, Antonenkova NN, Arason A, Arndt V, Aronson KJ, Arun BK, Auber B, Auer PL, Azzollini J, Balmaña J, Barkardottir RB, Barrowdale D, BeeghlyFadiel A, Benitez J, Bermisheva M, Bialkowska K, Blanco AM, Blomqvist C, Blot W, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Borg A, Bosse K, Brauch H, Brenner H, Briceno I, Brock IW, BrooksWilson A, Brüning T, Burwinkel B, Buys SS, Cai Q, Caldés T, Caligo MA, Camp NJ, Campbell I, Canzian F, Carroll JS, Carter BD, Castelao JE, Chiquette J, Christiansen H, Chung WK, Claes KBM, Clarke CL. Finemapping of 150 breast cancer risk regions identifies 191 likely target genes. Nat Genet. 2020 01; 52(1):5673.

Crispell J, Benton CH, Balaz D, De Maio N, Ahkmetova A, Allen A, Biek R, Presho EL, Dale J, Hewinson G, Lycett SJ, NunezGarcia J, Skuce RA, Trewby H, Wilson DJ, Zadoks RN, Delahay RJ, Kao RR. Combining genomics and epidemiology to analyse bidirectional transmission of Mycobacterium bovis in a multihost system. Elife. 2019 12 17; 8.

Cai CY, Wang YL, Liang L, Yin ZW, Thayer MK, Newton AF, Zhou YL. Congruence of morphological and molecular phylogenies of the rove beetle subfamily Staphylininae (Coleoptera: Staphylinidae). Sci Rep. 2019 10 22; 9(1):15137.

Turchin MC, Stephens M. Bayesian multivariate reanalysis of large genetic studies identifies many new associations. PLoS Genet. 2019 10; 15(10):e1008431.

Husain K, Pittayakanchit W, Pattanayak G, Rust MJ, Murugan A. Kalmanlike SelfTuned Sensitivity in Biophysical Sensing. Cell Syst. 2019 Nov 27; 9(5):459465.e6.

Chen Y, Wu F, Liu X, Parvez F, LoIacono NJ, Gibson EA, Kioumourtzoglou MA, Levy D, Shahriar H, Uddin MN, Islam T, Lomax A, Saxena R, Sanchez T, Santiago D, Ellis T, Ahsan H, Wasserman GA, Graziano JH. Early life and adolescent arsenic exposure from drinking water and blood pressure in adolescence. Environ Res. 2019 11; 178:108681.

Wang Q, Chen R, Cheng F, Wei Q, Ji Y, Yang H, Zhong X, Tao R, Wen Z, Sutcliffe JS, Liu C, Cook EH, Cox NJ, Li B. A Bayesian framework that integrates multiomics data and gene networks predicts risk genes from schizophrenia GWAS data. Nat Neurosci. 2019 05; 22(5):691699.

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