Monte Carlo Method
"Monte Carlo Method" 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.
In statistics, a technique for numerically approximating the solution of a mathematical problem by studying the distribution of some random variable, often generated by a computer. The name alludes to the randomness characteristic of the games of chance played at the gambling casinos in Monte Carlo. (From Random House Unabridged Dictionary, 2d ed, 1993)
Descriptor ID |
D009010
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MeSH Number(s) |
E05.318.740.525 L01.906.575.422 N05.715.360.750.540 N06.850.520.830.525
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Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Monte Carlo Method".
Below are MeSH descriptors whose meaning is more specific than "Monte Carlo Method".
This graph shows the total number of publications written about "Monte Carlo Method" by people in this website by year, and whether "Monte Carlo Method" was a major or minor topic of these publications.
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Year | Major Topic | Minor Topic | Total |
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1992 | 0 | 1 | 1 | 1996 | 1 | 0 | 1 | 1997 | 0 | 1 | 1 | 2000 | 0 | 1 | 1 | 2003 | 0 | 4 | 4 | 2004 | 1 | 0 | 1 | 2006 | 0 | 6 | 6 | 2007 | 0 | 2 | 2 | 2008 | 0 | 1 | 1 | 2010 | 0 | 1 | 1 | 2012 | 0 | 1 | 1 | 2013 | 0 | 1 | 1 | 2014 | 0 | 2 | 2 |
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Below are the most recent publications written about "Monte Carlo Method" by people in Profiles.
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Zasowski E, Bland CM, Tam VH, Lodise TP. Identification of optimal renal dosage adjustments for high-dose extended-infusion cefepime dosing regimens in hospitalized patients. J Antimicrob Chemother. 2015 Mar; 70(3):877-81.
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Aitken SL, Hemmige VS, Koo HL, Vuong NN, Lasco TM, Garey KW. Real-world performance of a microarray-based rapid diagnostic for Gram-positive bloodstream infections and potential utility for antimicrobial stewardship. Diagn Microbiol Infect Dis. 2015 Jan; 81(1):4-8.
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Starovoitova VN, Tchelidze L, Wells DP. Production of medical radioisotopes with linear accelerators. Appl Radiat Isot. 2014 Feb; 85:39-44.
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Warren PA, Graf EW, Champion RA, Maloney LT. Visual extrapolation under risk: human observers estimate and compensate for exogenous uncertainty. Proc Biol Sci. 2012 Jun 07; 279(1736):2171-9.
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Gentili RJ, Hadavi C, Ayaz H, Shewokis PA, Contreras-Vidal JL. Hemodynamic correlates of visuomotor motor adaptation by functional Near Infrared Spectroscopy. Conf Proc IEEE Eng Med Biol Soc. 2010; 2010:2918-21.
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Marpeau F, Barua A, Josic K. A finite volume method for stochastic integrate-and-fire models. J Comput Neurosci. 2009 Jun; 26(3):445-57.
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Rubin J, Josic K. The firing of an excitable neuron in the presence of stochastic trains of strong synaptic inputs. Neural Comput. 2007 May; 19(5):1251-94.
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Gliko O, Pan W, Katsonis P, Neumaier N, Galkin O, Weinkauf S, Vekilov PG. Metastable liquid clusters in super- and undersaturated protein solutions. J Phys Chem B. 2007 Mar 29; 111(12):3106-14.
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Katsonis P, Brandon S, Vekilov PG. Corresponding-states laws for protein solutions. J Phys Chem B. 2006 Sep 07; 110(35):17638-44.
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Tam VH, Kabbara S, Yeh RF, Leary RH. Impact of sample size on the performance of multiple-model pharmacokinetic simulations. Antimicrob Agents Chemother. 2006 Nov; 50(11):3950-2.
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