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 91 publications over 23 distinct years, with a maximum of 11 publications in 2013

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

Year	Major Topic	Minor Topic	Total
1996	1	0	1
1997	1	0	1
1998	0	1	1
1999	1	0	1
2000	0	1	1
2001	1	1	2
2002	2	0	2
2004	2	1	3
2005	3	3	6
2006	0	8	8
2007	0	1	1
2009	1	3	4
2010	1	3	4
2011	2	5	7
2012	0	2	2
2013	3	8	11
2014	4	2	6
2015	0	4	4
2016	5	3	8
2017	1	3	4
2018	3	1	4
2019	0	6	6
2020	2	2	4

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

Chishti S, Jaggi KR, Saini A, Agarwal G, Ranjan A. Artificial Intelligence-Based Differential Diagnosis: Development and Validation of a Probabilistic Model to Address Lack of Large-Scale Clinical Datasets. J Med Internet Res. 2020 04 28; 22(4):e17550.

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James JA, Guthridge JM, Chen H, Lu R, Bourn RL, Bean K, Munroe ME, Smith M, Chakravarty E, Baer AN, Noaiseh G, Parke A, Boyle K, Keyes-Elstein L, Coca A, Utset T, Genovese MC, Pascual V, Utz PJ, Holers VM, Deane KD, Sivils KL, Aberle T, Wallace DJ, McNamara J, Franchimont N, St Clair EW. Unique Sjögren's syndrome patient subsets defined by molecular features. Rheumatology (Oxford). 2020 04 01; 59(4):860-868.

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Hanly JG, Urowitz MB, Gordon C, Bae SC, Romero-Diaz J, Sanchez-Guerrero J, Bernatsky S, Clarke AE, Wallace DJ, Isenberg DA, Rahman A, Merrill JT, Fortin PR, Gladman DD, Bruce IN, Petri M, Ginzler EM, Dooley MA, Ramsey-Goldman R, Manzi S, Jönsen A, Alarcón GS, van Vollenhoven RF, Aranow C, Mackay M, Ruiz-Irastorza G, Lim S, Inanc M, Kalunian KC, Jacobsen S, Peschken CA, Kamen DL, Askanase A, Farewell V. Neuropsychiatric events in systemic lupus erythematosus: a longitudinal analysis of outcomes in an international inception cohort using a multistate model approach. Ann Rheum Dis. 2020 03; 79(3):356-362.

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Deneau MR, Valentino PL, Mack C, Alqoaer K, Amin M, Amir AZ, Aumar M, Auth M, Broderick A, DiGuglielmo M, Draijer LG, El-Matary W, Ferrari F, Furuya KN, Gottrand F, Gupta N, Homan M, Jensen MK, Kamath BM, Kim KM, Kolho KL, Koot B, Iorio R, Martinez M, Miloh T, Mohan P, Palle S, Papadopoulou A, Ricciuto A, Saubermann L, Sathya P, Shteyer E, Smolka V, Tanaka A, Varier R, Venkat V, Vitola B, Woynarowski M, Guthery S. Assessing the Validity of Adult-derived Prognostic Models for Primary Sclerosing Cholangitis Outcomes in Children. J Pediatr Gastroenterol Nutr. 2020 01; 70(1):e12-e17.

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Manzanera Esteve IV, Farinas AF, Pollins AC, Nussenbaum ME, Cardwell NL, Kang H, Does MD, Thayer WP, Dortch RD. Probabilistic Assessment of Nerve Regeneration with Diffusion MRI in Rat Models of Peripheral Nerve Trauma. Sci Rep. 2019 12 23; 9(1):19686.

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McAdoo RM, Key KN, Gronlund SD. Task effects determine whether recognition memory is mediated discretely or continuously. Mem Cognit. 2019 05; 47(4):683-695.

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Vitousek MN, Johnson MA, Downs CJ, Miller ET, Martin LB, Francis CD, Donald JW, Fuxjager MJ, Goymann W, Hau M, Husak JF, Kircher BK, Knapp R, Schoenle LA, Williams TD. Macroevolutionary Patterning in Glucocorticoids Suggests Different Selective Pressures Shape Baseline and Stress-Induced Levels. Am Nat. 2019 06; 193(6):866-880.

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Luo H, Wang F, Cheng C, Nakmali DU, Gan RZ, Lu H. Mapping the Young's modulus distribution of the human tympanic membrane by microindentation. Hear Res. 2019 07; 378:75-91.

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Anderson MP, Cooper MT. The Use of Bayesian Analysis Techniques in Pediatric Research. J Pediatr. 2019 02; 205:295-297.

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Yin F, Zheng W, Lucas MD, Allen RA, Zhou Y. Using the EPIDEM Model of Quality Improvement to Increase Value of BCR-ABL1 Tests. Am J Clin Pathol. 2019 01 01; 151(1):68-74.

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