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.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

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 Models, Polynomial Models, Polynomial Model, Polynomial Polynomial Model Polynomial Models Two-Parameter Models Two-Parameter Models Model, Two-Parameter Models, Two-Parameter Two Parameter Models Two-Parameter Model Models, Binomial Models, Binomial Binomial Model Binomial Models Model, Binomial

Below are MeSH descriptors whose meaning is more general than "Models, Statistical".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Epidemiologic Methods [E05.318]
Statistics as Topic [E05.318.740]
Models, Statistical [E05.318.740.500]
Models, Theoretical [E05.599]
Models, Statistical [E05.599.835]
Health Care [N]
Health Care Quality, Access, and Evaluation [N05]
Quality of Health Care [N05.715]
Health Care Evaluation Mechanisms [N05.715.360]
Statistics as Topic [N05.715.360.750]
Models, Statistical [N05.715.360.750.530]
Environment and Public Health [N06]
Public Health [N06.850]
Epidemiologic Methods [N06.850.520]
Statistics as Topic [N06.850.520.830]
Models, Statistical [N06.850.520.830.500]

Below are MeSH descriptors whose meaning is more specific than "Models, Statistical".

publications

Timeline | Most Recent

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.

Bar chart showing 243 publications over 28 distinct years, with a maximum of 20 publications in 2006 and 2015

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
1996	0	1	1
1998	1	1	2
1999	0	3	3
2000	0	2	2
2001	1	6	7
2002	1	5	6
2003	2	7	9
2004	0	8	8
2005	0	9	9
2006	5	15	20
2007	1	14	15
2008	2	6	8
2009	7	9	16
2010	5	5	10
2011	5	10	15
2012	3	13	16
2013	1	7	8
2014	7	8	15
2015	9	11	20
2016	4	4	8
2017	5	6	11
2018	1	6	7
2019	4	6	10
2020	2	3	5
2021	2	6	8
2022	1	0	1
2023	0	1	1
2024	1	1	2

Below are the most recent publications written about "Models, Statistical" by people in Profiles.

Ganju J, Ma JG. Variable Duration Trial as an Alternative Design for Continuous Endpoints. Pharm Stat. 2024 Nov-Dec; 23(6):1059-1064.

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Pate A, Sperrin M, Riley RD, Peek N, Van Staa T, Sergeant JC, Mamas MA, Lip GYH, O'Flaherty M, Barrowman M, Buchan I, Martin GP. Calibration plots for multistate risk predictions models. Stat Med. 2024 06 30; 43(14):2830-2852.

View in: PubMed
Wu S, Liu X, Dong A, Gragnoli C, Griffin C, Wu J, Yau ST, Wu R. The metabolomic physics of complex diseases. Proc Natl Acad Sci U S A. 2023 10 17; 120(42):e2308496120.

View in: PubMed
Wiecek W, Ahuja A, Chaudhuri E, Kremer M, Simoes Gomes A, Snyder CM, Tabarrok A, Tan BJ. Testing fractional doses of COVID-19 vaccines. Proc Natl Acad Sci U S A. 2022 02 22; 119(8).

View in: PubMed
Yu D, Peat G, Jordan KP, Bailey J, Prieto-Alhambra D, Robinson DE, Strauss VY, Walker-Bone K, Silman A, Mamas M, Blackburn S, Dent S, Dunn K, Judge A, Protheroe J, Wilkie R. Estimating the population health burden of musculoskeletal conditions using primary care electronic health records. Rheumatology (Oxford). 2021 10 02; 60(10):4832-4843.

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Leiner J, Pellissier V, Nitsche A, K?nig S, Hohenstein S, Nachtigall I, Hindricks G, Kutschker C, Rolinski B, Gebauer J, Prantz A, Schubert J, Patzschke J, Bollmann A, Wolz M. SARS-CoV-2 rapid antigen testing in the healthcare sector: A clinical prediction model for identifying false negative results. Int J Infect Dis. 2021 Nov; 112:117-123.

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Sun LY, Eddeen AB, Wijeysundera HC, Mamas MA, Tam DY, Mesana TG. Derivation and validation of a clinical model to predict death or cardiac hospitalizations while on the cardiac surgery waitlist. CMAJ. 2021 08 30; 193(34):E1333-E1340.

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Bratholm LA, Gerrard W, Anderson B, Bai S, Choi S, Dang L, Hanchar P, Howard A, Kim S, Kolter Z, Kondor R, Kornbluth M, Lee Y, Lee Y, Mailoa JP, Nguyen TT, Popovic M, Rakocevic G, Reade W, Song W, Stojanovic L, Thiede EH, Tijanic N, Torrubia A, Willmott D, Butts CP, Glowacki DR. A community-powered search of machine learning strategy space to find NMR property prediction models. PLoS One. 2021; 16(7):e0253612.

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Hoffman H, Bunch KM, Mikhailova T, Cote JR, Ashok Kumar A, Masoud HE, Gould GC. Transition from Proximal to Distal Radial Access for Diagnostic Cerebral Angiography: Learning Curve Analysis. World Neurosurg. 2021 08; 152:e484-e491.

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Woo SH, Rios-Diaz AJ, Kubey AA, Cheney-Peters DR, Ackermann LL, Chalikonda DM, Venkataraman CM, Riley JM, Baram M. Development and Validation of a Web-Based Severe COVID-19 Risk Prediction Model. Am J Med Sci. 2021 10; 362(4):355-362.

View in: PubMed

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