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 161 publications over 22 distinct years, with a maximum of 18 publications in 2006

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

Year	Major Topic	Minor Topic	Total
2002	1	4	5
2003	2	4	6
2004	1	8	9
2005	0	7	7
2006	4	14	18
2007	1	14	15
2008	2	5	7
2009	4	6	10
2010	5	5	10
2011	3	8	11
2012	2	10	12
2013	0	3	3
2014	4	7	11
2015	7	5	12
2016	3	2	5
2017	3	4	7
2018	0	1	1
2019	1	2	3
2020	1	1	2
2021	1	4	5
2022	1	0	1
2024	1	0	1

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

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 Jun 30; 43(14):2830-2852.

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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.

View in: PubMed
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.

View in: PubMed
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.

View in: PubMed
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
Giambra OM, Young KA, Buonpane CL, Dove JT, Shabahang MM, Blansfield J. Identifying Outlier Hospitals in Gastric Cancer Lymph Node Yield Using the National Cancer Database. J Surg Res. 2021 05; 261:196-204.

View in: PubMed
Ghazi AR, Kong X, Chen ES, Edelstein LC, Shaw CA. Bayesian modelling of high-throughput sequencing assays with malacoda. PLoS Comput Biol. 2020 07; 16(7):e1007504.

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Boden WE, Hartigan PM, Mancini J, Teo KK, Chaitman BR, Maron DJ, Kostuk WJ, Hartigan JA, Dada M, Spertus JA, Bates ER, Weintraub WS. Risk Prediction Tool for Assessing the Probability of Death or Myocardial Infarction in Patients With Stable Coronary Artery Disease. Am J Cardiol. 2020 09 01; 130:1-6.

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Stanski NL, Stenson EK, Cvijanovich NZ, Weiss SL, Fitzgerald JC, Bigham MT, Jain PN, Schwarz A, Lutfi R, Nowak J, Allen GL, Thomas NJ, Grunwell JR, Baines T, Quasney M, Haileselassie B, Wong HR. PERSEVERE Biomarkers Predict Severe Acute Kidney Injury and Renal Recovery in Pediatric Septic Shock. Am J Respir Crit Care Med. 2020 04 01; 201(7):848-855.

View in: PubMed

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