 Likelihood Functions
"Likelihood Functions" 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.
Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown model parameters. Those parameter values that maximize the probability are the maximum likelihood estimates of the parameters.
| Descriptor ID |
D016013
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| MeSH Number(s) |
E05.318.740.500.475 E05.318.740.600.400 E05.599.835.500 N05.715.360.750.530.450 N05.715.360.750.625.450 N06.850.520.830.500.475 N06.850.520.830.600.400
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| Concept/Terms |
Likelihood Functions- Likelihood Functions
- Function, Likelihood
- Functions, Likelihood
- Likelihood Function
Maximum Likelihood Estimates- Maximum Likelihood Estimates
- Estimate, Maximum Likelihood
- Estimates, Maximum Likelihood
- Maximum Likelihood Estimate
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Below are MeSH descriptors whose meaning is more general than "Likelihood Functions".
Below are MeSH descriptors whose meaning is more specific than "Likelihood Functions".
This graph shows the total number of publications written about "Likelihood Functions" by people in this website by year, and whether "Likelihood Functions" 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 |
|---|
| 1992 | 0 | 1 | 1 | | 1994 | 1 | 0 | 1 | | 1996 | 0 | 2 | 2 | | 1998 | 0 | 2 | 2 | | 1999 | 0 | 2 | 2 | | 2000 | 0 | 3 | 3 | | 2001 | 1 | 8 | 9 | | 2002 | 0 | 3 | 3 | | 2003 | 2 | 6 | 8 | | 2004 | 1 | 8 | 9 | | 2005 | 0 | 7 | 7 | | 2006 | 2 | 3 | 5 | | 2007 | 0 | 8 | 8 | | 2008 | 1 | 5 | 6 | | 2009 | 1 | 8 | 9 | | 2010 | 0 | 6 | 6 | | 2011 | 0 | 3 | 3 | | 2012 | 0 | 5 | 5 | | 2013 | 0 | 6 | 6 | | 2014 | 0 | 6 | 6 | | 2015 | 0 | 6 | 6 | | 2016 | 0 | 3 | 3 | | 2017 | 1 | 2 | 3 | | 2018 | 0 | 4 | 4 | | 2019 | 1 | 1 | 2 | | 2020 | 0 | 4 | 4 |
To return to the timeline, click here.
Below are the most recent publications written about "Likelihood Functions" by people in Profiles.
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Mori M, Wang Y, Murugiah K, Khera R, Gupta A, Vallabhajosyula P, Masoudi FA, Geirsson A, Krumholz HM. Trends in Reoperative Coronary Artery Bypass Graft Surgery for Older Adults in the United States, 1998 to 2017. J Am Heart Assoc. 2020 10 20; 9(20):e016980.
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Calhoun DM, Esfahani E, Locke SA, Moser WE, Johnson PTJ. How parasite exposure and time interact to determine Australapatemon burti (Trematoda: Digenea) infections in second intermediate hosts (Erpobdella microstoma) (Hirudinea: Erpodellidae). Exp Parasitol. 2020 Dec; 219:108002.
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Liu S, Smith SD. Phylogeny and biogeography of South American marsh pitcher plant genus Heliamphora (Sarraceniaceae) endemic to the Guiana Highlands. Mol Phylogenet Evol. 2021 01; 154:106961.
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Li J, Lemer S, Kirkendale L, Bieler R, Cavanaugh C, Giribet G. Shedding light: a phylotranscriptomic perspective illuminates the origin of photosymbiosis in marine bivalves. BMC Evol Biol. 2020 05 01; 20(1):50.
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Baduashvili A, Guyatt G, Evans AT. ROC Anatomy-Getting the Most Out of Your Diagnostic Test. J Gen Intern Med. 2019 09; 34(9):1892-1898.
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Ejaz AA, Johnson RJ, Shimada M, Mohandas R, Alquadan KF, Beaver TM, Lapsia V, Dass B. The Role of Uric Acid in Acute Kidney Injury. Nephron. 2019; 142(4):275-283.
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Verhulst B, Prom-Wormley E, Keller M, Medland S, Neale MC. Type I Error Rates and Parameter Bias in Multivariate Behavioral Genetic Models. Behav Genet. 2019 01; 49(1):99-111.
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Bono JM, Pigage HK, Wettstein PJ, Prosser SA, Pigage JC. Genome-wide markers reveal a complex evolutionary history involving divergence and introgression in the Abert's squirrel (Sciurus aberti) species group. BMC Evol Biol. 2018 09 12; 18(1):139.
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Beckman EJ, Benham PM, Cheviron ZA, Witt CC. Detecting introgression despite phylogenetic uncertainty: The case of the South American siskins. Mol Ecol. 2018 11; 27(22):4350-4367.
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Mikulich-Gilbertson SK, Wagner BD, Grunwald GK, Riggs PD, Zerbe GO. Using empirical Bayes predictors from generalized linear mixed models to test and visualize associations among longitudinal outcomes. Stat Methods Med Res. 2019 05; 28(5):1399-1411.
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