"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 | 3 | 3 |
| 1998 | 0 | 4 | 4 |
| 2000 | 0 | 2 | 2 |
| 2001 | 0 | 1 | 1 |
| 2002 | 0 | 4 | 4 |
| 2003 | 0 | 2 | 2 |
| 2004 | 0 | 3 | 3 |
| 2005 | 0 | 2 | 2 |
| 2006 | 0 | 5 | 5 |
| 2007 | 0 | 3 | 3 |
| 2008 | 0 | 2 | 2 |
| 2009 | 0 | 3 | 3 |
| 2010 | 0 | 3 | 3 |
| 2012 | 0 | 2 | 2 |
| 2013 | 0 | 7 | 7 |
| 2014 | 0 | 2 | 2 |
| 2015 | 1 | 0 | 1 |
| 2016 | 0 | 4 | 4 |
| 2017 | 0 | 1 | 1 |
| 2018 | 1 | 0 | 1 |
| 2019 | 1 | 3 | 4 |
| 2022 | 0 | 2 | 2 |
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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Berlyand Y, Copenhaver MS, White BA, Dutta S, Baugh JJ, Wilcox SR, Yun BJ, Raja AS, Sonis JD. Impact of Emergency Department Crowding on Discharged Patient Experience. West J Emerg Med. 2022 Dec 31; 24(2):185-192.
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Lucas BA, Zhang K, Loerch S, Grigorieff N. In situ single particle classification reveals distinct 60S maturation intermediates in cells. Elife. 2022 08 25; 11.
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Subramaniyam S, DeJesus MA, Zaveri A, Smith CM, Baker RE, Ehrt S, Schnappinger D, Sassetti CM, Ioerger TR. Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression. BMC Bioinformatics. 2019 Nov 21; 20(1):603.
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Bakbergenuly I, Hoaglin DC, Kulinskaya E. Estimation in meta-analyses of mean difference and standardized mean difference. Stat Med. 2020 01 30; 39(2):171-191.
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Pituch KA, Joshi M, Cain ME, Whittaker TA, Chang W, Park R, McDougall GJ. The Performance of Multivariate Methods for Two-Group Comparisons with Small Samples and Incomplete Data. Multivariate Behav Res. 2020 Sep-Oct; 55(5):704-721.
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Bakbergenuly I, Hoaglin DC, Kulinskaya E. Pitfalls of using the risk ratio in meta-analysis. Res Synth Methods. 2019 Sep; 10(3):398-419.
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Fischer DS, Fiedler AK, Kernfeld EM, Genga RMJ, Bastidas-Ponce A, Bakhti M, Lickert H, Hasenauer J, Maehr R, Theis FJ. Inferring population dynamics from single-cell RNA-sequencing time series data. Nat Biotechnol. 2019 04; 37(4):461-468.
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Qian J, Ray E, Brecha RL, Reilly MP, Foulkes AS. A likelihood-based approach to transcriptome association analysis. Stat Med. 2019 04 15; 38(8):1357-1373.
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Ronzitti S, Kraus SW, Hoff RA, Clerici M, Potenza MN. Problem-gambling severity, suicidality and DSM-IV Axis II personality disorders. Addict Behav. 2018 07; 82:142-150.
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Ghammraoui B, Glick SJ. Investigating the feasibility of classifying breast microcalcifications using photon-counting spectral mammography: A simulation study. Med Phys. 2017 Jun; 44(6):2304-2311.