 Models, Statistical
"Models, Statistical" 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.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
| Descriptor ID |
D015233
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| MeSH Number(s) |
E05.318.740.500 E05.599.835 N05.715.360.750.530 N06.850.520.830.500
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| Concept/Terms |
Models, Statistical- Models, Statistical
- Statistical Model
- Probabilistic Models
- Model, Probabilistic
- Models, Probabilistic
- Probabilistic Model
- Model, Statistical
- Statistical Models
Two-Parameter Models- Two-Parameter Models
- Model, Two-Parameter
- Models, Two-Parameter
- Two Parameter Models
- Two-Parameter Model
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Below are MeSH descriptors whose meaning is more general than "Models, Statistical".
Below are MeSH descriptors whose meaning is more specific than "Models, Statistical".
This graph shows the total number of publications written about "Models, Statistical" by people in this website by year, and whether "Models, Statistical" 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 |
|---|
| 1989 | 1 | 0 | 1 | | 1992 | 0 | 1 | 1 | | 1994 | 0 | 1 | 1 | | 1997 | 1 | 0 | 1 | | 1998 | 0 | 1 | 1 | | 1999 | 0 | 2 | 2 | | 2000 | 0 | 1 | 1 | | 2001 | 1 | 1 | 2 | | 2002 | 1 | 0 | 1 | | 2003 | 3 | 1 | 4 | | 2004 | 0 | 4 | 4 | | 2005 | 1 | 4 | 5 | | 2006 | 0 | 2 | 2 | | 2007 | 3 | 3 | 6 | | 2008 | 1 | 6 | 7 | | 2009 | 3 | 4 | 7 | | 2010 | 4 | 5 | 9 | | 2011 | 2 | 5 | 7 | | 2012 | 1 | 6 | 7 | | 2013 | 0 | 4 | 4 | | 2014 | 4 | 7 | 11 | | 2015 | 2 | 4 | 6 | | 2016 | 3 | 5 | 8 | | 2017 | 2 | 8 | 10 | | 2018 | 3 | 5 | 8 | | 2019 | 2 | 2 | 4 |
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Below are the most recent publications written about "Models, Statistical" by people in Profiles.
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Stanojevic S, Sykes J, Stephenson AL, Aaron SD, Whitmore GA. Development and external validation of 1- and 2-year mortality prediction models in cystic fibrosis. Eur Respir J. 2019 09; 54(3).
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Higgins V, Asgari S, Adeli K. Choosing the best statistical method for reference interval estimation. Clin Biochem. 2019 Sep; 71:14-16.
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Wazny K, Anderson N, Bassani DG, Ravenscroft J, Chan KY, Rudan I. Exploring individual and demographic characteristics and their relation to CHNRI Criteria from an international public stakeholder group: an analysis using random intercept and logistic regression modelling. J Glob Health. 2019 Jun; 9(1):010701.
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Shams S, Pullenayegum E. Reducing Uncertainty in EQ-5D Value Sets: The Role of Spatial Correlation. Med Decis Making. 2019 02; 39(2):91-99.
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Ledoux AA, Tang K, Yeates KO, Pusic MV, Boutis K, Craig WR, Gravel J, Freedman SB, Gagnon I, Gioia GA, Osmond MH, Zemek RL. Natural Progression of Symptom Change and Recovery From Concussion in a Pediatric Population. JAMA Pediatr. 2019 01 01; 173(1):e183820.
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Naranjo A, Irwin MS, Hogarty MD, Cohn SL, Park JR, London WB. Statistical Framework in Support of a Revised Children's Oncology Group Neuroblastoma Risk Classification System. JCO Clin Cancer Inform. 2018 12; 2:1-15.
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Wagner Z, Heft-Neal S, Bhutta ZA, Black RE, Burke M, Bendavid E. Armed conflict and child mortality in Africa: a geospatial analysis. Lancet. 2018 09 08; 392(10150):857-865.
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Strug LJ. The evidential statistical paradigm in genetics. Genet Epidemiol. 2018 Oct; 42(7):590-607.
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Lorenzo AJ, Rickard M, Braga LH, Guo Y, Oliveria JP. Predictive Analytics and Modeling Employing Machine Learning Technology: The Next Step in Data Sharing, Analysis, and Individualized Counseling Explored With a Large, Prospective Prenatal Hydronephrosis Database. Urology. 2019 01; 123:204-209.
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Janus M, Brownell M, Reid-Westoby C, Bennett T, Birken C, Coplan R, Duku E, Ferro MA, Forer B, Georgiades S, Gorter JW, Guhn M, Maguire JL, Manson H, Pei J, Santos R. Establishing a protocol for building a pan-Canadian population-based monitoring system for early childhood development for children with health disorders: Canadian Children's Health in Context Study (CCHICS). BMJ Open. 2018 05 29; 8(5):e023688.
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