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.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

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	Bayes Theorem Bayes Theorem Theorem, Bayes Bayesian Forecast Bayesian Forecast Forecast, Bayesian Bayesian Prediction Bayesian Prediction Prediction, Bayesian Bayesian Analysis Bayesian Analysis Bayesian Approach Approach, Bayesian Approachs, Bayesian Bayesian Approachs Analysis, Bayesian Bayesian Method Bayesian Method Method, Bayesian

Below are MeSH descriptors whose meaning is more general than "Bayes Theorem".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Epidemiologic Methods [E05.318]
Statistics as Topic [E05.318.740]
Probability [E05.318.740.600]
Bayes Theorem [E05.318.740.600.200]
Health Care [N]
Health Care Quality, Access, and Evaluation [N05]
Quality of Health Care [N05.715]
Health Care Evaluation Mechanisms [N05.715.360]
Statistics as Topic [N05.715.360.750]
Probability [N05.715.360.750.625]
Bayes Theorem [N05.715.360.750.625.150]
Environment and Public Health [N06]
Public Health [N06.850]
Epidemiologic Methods [N06.850.520]
Statistics as Topic [N06.850.520.830]
Probability [N06.850.520.830.600]
Bayes Theorem [N06.850.520.830.600.200]

Below are MeSH descriptors whose meaning is related to "Bayes Theorem".

Below are MeSH descriptors whose meaning is more specific than "Bayes Theorem".

publications

Timeline | Most Recent

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.

Bar chart showing 52 publications over 20 distinct years, with a maximum of 7 publications in 2020

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
2005	0	1	1
2006	0	2	2
2007	2	1	3
2008	0	1	1
2009	0	2	2
2010	0	2	2
2011	0	1	1
2012	0	2	2
2013	1	1	2
2014	0	2	2
2015	0	1	1
2016	0	3	3
2017	0	4	4
2018	0	1	1
2019	0	3	3
2020	0	7	7
2021	0	5	5
2022	0	6	6
2023	0	3	3
2024	0	1	1

Below are the most recent publications written about "Bayes Theorem" by people in Profiles.

Lam K, Mondick JT, Peltz G, Wu M, Kraft WK. Bayesian Population Pharmacokinetic Modeling of Ondansetron for Neonatal Opioid Withdrawal Syndrome. Clin Transl Sci. 2025 Feb; 18(2):e70147.

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Bersani A, Amankwah M, Calvetti D, Somersalo E, Viceconti M, Davico G. Myobolica: A Stochastic Approach to Estimate Physiological Muscle Control Variability. IEEE Trans Neural Syst Rehabil Eng. 2024; 32:3270-3277.

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Das R, Duggal M, Rosenthal J, Kankaria A, Senee HK, Jabbar S, Kaur M, Kumar V, Bhardwaj S, Singh N, Dhanjal GS, Kumar A, Rose CE, Bhatia R, Gupta R, Dalpath S, Crider KS, Zhang M, Pfeiffer CM, Gupta R, Mehta R, Raina N, Yeung LF. Folate and Vitamin B12 Status in Women of Reproductive Age in Rural Haryana, India: Estimating Population-Based Prevalence for Neural Tube Defects. Birth Defects Res. 2024 Aug; 116(8):e2390.

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Blakely ML, Krzyzaniak A, Dassinger MS, Pedroza C, Weitkamp JH, Gosain A, Cotten M, Hintz SR, Rice H, Courtney SE, Lally KP, Ambalavanan N, Bendel CM, Bui KCT, Calkins C, Chandler NM, Dasgupta R, Davis JM, Deans K, DeUgarte DA, Gander J, Jackson CA, Keszler M, Kling K, Fenton SJ, Fisher KA, Hartman T, Huang EY, Islam S, Koch F, Lainwala S, Lesher A, Lopez M, Misra M, Overbey J, Poindexter B, Russell R, Stylianos S, Tamura DY, Yoder BA, Lucas D, Shaul D, Ham PB, Fitzpatrick C, Calkins K, Garrison A, de la Cruz D, Abdessalam S, Kvasnovsky C, Segura BJ, Shilyansky J, Smith LM, Tyson JE. Effect of Early vs Late Inguinal Hernia Repair on Serious Adverse Event Rates in Preterm Infants: A Randomized Clinical Trial. JAMA. 2024 03 26; 331(12):1035-1044.

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Williams ZJ, Schaaf R, Ausderau KK, Baranek GT, Barrett DJ, Cascio CJ, Dumont RL, Eyoh EE, Failla MD, Feldman JI, Foss-Feig JH, Green HL, Green SA, He JL, Kaplan-Kahn EA, Ke?eli-Kaysili B, MacLennan K, Mailloux Z, Marco EJ, Mash LE, McKernan EP, Molholm S, Mostofsky SH, Puts NAJ, Robertson CE, Russo N, Shea N, Sideris J, Sutcliffe JS, Tavassoli T, Wallace MT, Wodka EL, Woynaroski TG. Examining the latent structure and correlates of sensory reactivity in autism: a multi-site integrative data analysis by the autism sensory research consortium. Mol Autism. 2023 Aug 28; 14(1):31.

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Edwards DJ, Liu CY, Dunning K, Fregni F, Laine J, Leiby BE, Rogers LM, Harvey RL. Electric Field Navigated 1-Hz rTMS for Poststroke Motor Recovery: The E-FIT Randomized Controlled Trial. Stroke. 2023 09; 54(9):2254-2264.

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Pokrzywa CJ, Al Tannir AH, Sparapani R, Rabas MS, Holena D, Murphy PB, Creutzfeldt CJ, Somberg L, Nattinger A, Morris RS. The Variation of Withdrawal of Life Sustaining Therapy in Older Adults With Traumatic Brain Injury. J Surg Res. 2023 11; 291:34-42.

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Teunis T, Samadi A, Chen N, Ring D. Research methodology: the Bayesian statistical framework and the future of trial design. J Hand Surg Eur Vol. 2023 06; 48(6):593-597.

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Asadi-Pooya AA, Farazdaghi M. Cluster analysis of a large dataset of patients with juvenile myoclonic epilepsy: Predicting response to treatment. Seizure. 2023 Feb; 105:10-13.

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Cao X, Zhao Z, Kang Y, Tian Y, Song Y, Wang L, Zhang L, Wang X, Chen Z, Zheng C, Tian L, Yin P, Fang Y, Zhang M, He Y, Zhang Z, Weintraub WS, Zhou M, Wang Z. The burden of cardiovascular disease attributable to high systolic blood pressure across China, 2005-18: a population-based study. Lancet Public Health. 2022 12; 7(12):e1027-e1040.

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