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 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.
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Year  Major Topic  Minor Topic  Total 

2001  0  1  1  2005  1  3  4  2006  0  1  1  2007  0  2  2  2008  0  3  3  2009  4  3  7  2010  2  3  5  2011  0  5  5  2012  2  2  4  2013  0  6  6  2014  1  1  2  2015  1  8  9  2016  0  6  6  2017  1  7  8  2018  2  3  5 
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles.

Ouédraogo AM, Crighton EJ, Sawada M, To T, Brand K, Lavigne E. Exploration of the spatial patterns and determinants of asthma prevalence and health services use in Ontario using a Bayesian approach. PLoS One. 2018; 13(12):e0208205.

Baskurt Z, Strug LJ. Genetic association analysis with pedigrees: Direct inference using the composite likelihood ratio. Genet Epidemiol. 2018 12; 42(8):826837.

Strug LJ. The evidential statistical paradigm in genetics. Genet Epidemiol. 2018 Oct; 42(7):590607.

Johnson SR, Tomlinson GA, Granton JT, Hawker GA, Feldman BM. Applied Bayesian Methods in the Rheumatic Diseases. Rheum Dis Clin North Am. 2018 05; 44(2):361370.

Akseer N, Bhatti Z, Mashal T, Soofi S, Moineddin R, Black RE, Bhutta ZA. Geospatial inequalities and determinants of nutritional status among women and children in Afghanistan: an observational study. Lancet Glob Health. 2018 04; 6(4):e447e459.

Mezlini AM, Goldenberg A. Incorporating networks in a probabilistic graphical model to find drivers for complex human diseases. PLoS Comput Biol. 2017 Oct; 13(10):e1005580.

Barsalou J, Jaeggi E, Laskin CA, Brown P, Tian SY, Hamilton RM, Silverman ED. Prenatal exposure to antimalarials decreases the risk of cardiac but not noncardiac neonatal lupus: a singlecentre cohort study. Rheumatology (Oxford). 2017 09 01; 56(9):15521559.

Chan KKW, Xie F, Willan AR, Pullenayegum EM. Conducting EQ5D Valuation Studies in ResourceConstrained Countries: The Potential Use of Shrinkage Estimators to Reduce Sample Size. Med Decis Making. 2018 01; 38(1):2633.

Veroniki AA, Rios P, Cogo E, Straus SE, Finkelstein Y, Kealey R, Reynen E, Soobiah C, Thavorn K, Hutton B, Hemmelgarn BR, Yazdi F, D'Souza J, MacDonald H, Tricco AC. Comparative safety of antiepileptic drugs for neurological development in children exposed during pregnancy and breast feeding: a systematic review and network metaanalysis. BMJ Open. 2017 Jul 20; 7(7):e017248.

Veroniki AA, Cogo E, Rios P, Straus SE, Finkelstein Y, Kealey R, Reynen E, Soobiah C, Thavorn K, Hutton B, Hemmelgarn BR, Yazdi F, D'Souza J, MacDonald H, Tricco AC. Comparative safety of antiepileptic drugs during pregnancy: a systematic review and network metaanalysis of congenital malformations and prenatal outcomes. BMC Med. 2017 05 05; 15(1):95.

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