"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
|
| MeSH Number(s) |
E05.318.740.500 E05.599.835 N05.715.360.750.530 N06.850.520.830.500
|
| 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
|
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 |
|---|
| 1997 | 1 | 0 | 1 |
| 2002 | 1 | 1 | 2 |
| 2003 | 3 | 3 | 6 |
| 2004 | 0 | 2 | 2 |
| 2005 | 0 | 5 | 5 |
| 2006 | 1 | 2 | 3 |
| 2007 | 0 | 1 | 1 |
| 2008 | 1 | 3 | 4 |
| 2009 | 2 | 3 | 5 |
| 2010 | 2 | 2 | 4 |
| 2011 | 2 | 5 | 7 |
| 2012 | 1 | 6 | 7 |
| 2013 | 4 | 8 | 12 |
| 2014 | 3 | 10 | 13 |
| 2015 | 3 | 7 | 10 |
| 2016 | 4 | 10 | 14 |
| 2017 | 88 | 86 | 174 |
| 2018 | 51 | 95 | 146 |
| 2019 | 15 | 24 | 39 |
| 2020 | 41 | 73 | 114 |
| 2021 | 39 | 53 | 92 |
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Below are the most recent publications written about "Models, Statistical" by people in Profiles.
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Age-dependency of the Propagation Rate of Coronavirus Disease 2019 Inside School Bubble Groups in Catalonia, Spain. Pediatr Infect Dis J. 2021 11 01; 40(11):955-961.
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Convalescent plasma associates with reduced mortality and improved clinical trajectory in patients hospitalized with COVID-19. J Clin Invest. 2021 10 15; 131(20).
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Short-term forecasting of the COVID-19 outbreak in India. Int Health. 2021 09 03; 13(5):410-420.
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Identifying Nontraditional Epidemic Disease Risk Factors Associated with Major Health Events from World Health Organization and World Bank Open Data. Am J Trop Med Hyg. 2021 08 30; 105(4):896-902.
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A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave. Nat Commun. 2021 08 27; 12(1):5173.
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Regional performance variation in external validation of four prediction models for severity of COVID-19 at hospital admission: An observational multi-centre cohort study. PLoS One. 2021; 16(8):e0255748.
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Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study. Sci Rep. 2021 08 19; 11(1):16936.
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Analysis of the time course of COVID-19 cases and deaths from countries with extensive testing allows accurate early estimates of the age specific symptomatic CFR values. PLoS One. 2021; 16(8):e0253843.
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Modeling COVID-19 spread in small colleges. PLoS One. 2021; 16(8):e0255654.
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Data driven high resolution modeling and spatial analyses of the COVID-19 pandemic in Germany. PLoS One. 2021; 16(8):e0254660.