"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
|
| 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
|
| 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
|
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 |
|---|
| 1995 | 0 | 2 | 2 |
| 1997 | 0 | 1 | 1 |
| 1999 | 1 | 2 | 3 |
| 2000 | 1 | 2 | 3 |
| 2001 | 0 | 5 | 5 |
| 2002 | 0 | 1 | 1 |
| 2003 | 1 | 5 | 6 |
| 2004 | 0 | 4 | 4 |
| 2005 | 0 | 3 | 3 |
| 2006 | 0 | 3 | 3 |
| 2007 | 0 | 5 | 5 |
| 2008 | 0 | 5 | 5 |
| 2009 | 0 | 6 | 6 |
| 2010 | 0 | 6 | 6 |
| 2011 | 0 | 5 | 5 |
| 2012 | 0 | 7 | 7 |
| 2013 | 0 | 7 | 7 |
| 2014 | 0 | 5 | 5 |
| 2015 | 0 | 1 | 1 |
| 2016 | 0 | 4 | 4 |
| 2017 | 0 | 5 | 5 |
| 2018 | 0 | 1 | 1 |
| 2020 | 0 | 1 | 1 |
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Below are the most recent publications written about "Likelihood Functions" by people in Profiles.
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Evaluating dynamic and predictive discrimination for recurrent event models: use of a time-dependent C-index. Biostatistics. 2024 Oct 01; 25(4):1140-1155.
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A Bayesian quasi-likelihood design for identifying the minimum effective dose and maximum utility dose in dose-ranging studies. Stat Methods Med Res. 2024 Jun; 33(6):931-944.
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SAM: Self-adapting mixture prior to dynamically borrow information from historical data in clinical trials. Biometrics. 2023 12; 79(4):2857-2868.
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Integrative Bayesian models using Post-selective inference: A case study in radiogenomics. Biometrics. 2023 09; 79(3):1801-1813.
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Comparison of reconstructed prompt gamma emissions using maximum likelihood estimation and origin ensemble algorithms for a Compton camera system tailored to proton range monitoring. Z Med Phys. 2023 May; 33(2):124-134.
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On Bayesian modeling of censored data in JAGS. BMC Bioinformatics. 2022 Mar 23; 23(1):102.
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Congenital Uterine Malformation by Experts (CUME): diagnostic criteria for T-shaped uterus. Ultrasound Obstet Gynecol. 2020 06; 55(6):815-829.
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International consensus recommendations for target volume delineation specific to sacral metastases and spinal stereotactic body radiation therapy (SBRT). Radiother Oncol. 2020 04; 145:21-29.
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Detecting the mutational signature of homologous recombination deficiency in clinical samples. Nat Genet. 2019 05; 51(5):912-919.
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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation. J Vis Exp. 2019 01 16; (143).