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 255 publications over 29 distinct years, with a maximum of 20 publications in 2012

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

Year	Major Topic	Minor Topic	Total
1996	0	4	4
1997	1	0	1
1998	1	0	1
1999	3	4	7
2000	1	7	8
2001	3	3	6
2002	1	2	3
2003	1	5	6
2004	0	9	9
2005	3	11	14
2006	1	13	14
2007	1	8	9
2008	1	11	12
2009	1	13	14
2010	3	13	16
2011	2	6	8
2012	4	16	20
2013	8	10	18
2014	5	11	16
2015	4	5	9
2016	4	8	12
2017	5	4	9
2018	4	3	7
2019	7	4	11
2020	2	6	8
2021	3	3	6
2022	3	0	3
2024	2	1	3
2026	1	0	1

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

Wendelberger B, Jensen TP, Quintana M, Stewart I, Molyneaux PL, Maher TM, Oldham JM, Johnson SR, Fahy WA, Khan F, Saini G, Abdulqawi R, Allen R, Baldi BG, Chaudhuri N, Corte TJ, Cottin V, Funke-Chambour M, Glaspole I, Holland AE, Johannson KA, Khor YH, Kreuter M, Kulkarni T, Molina-Molina M, Martinez FJ, Montesi SB, Nathan SD, Piccari L, Rajan S, Rivera-Ortega P, Ryerson CJ, Sakamoto K, Wain LV, Wells AU, Adams W, Kawano-Dourado L, Jenkins RG, Lewis RJ. A statistical model for lung function trajectory and mortality in patients with fibrotic interstitial lung disease. Am J Respir Crit Care Med. 2026 07 01; 212(7):1533-1547.

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Dong G, Cui Y, Gamalo-Siebers M, Liao R, Liu D, Hoaglin DC, Lu Y. On approximate equality of Z-values of the statistical tests for win statistics (win ratio, win odds, and net benefit). J Biopharm Stat. 2025 05; 35(3):457-464.

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Guo X, Xiang Y, Yang Y, Ye C, Yu Y, Ma T. Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation. Comput Biol Med. 2024 09; 180:108933.

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Turk PJ, Anderson WE, Burns RJ, Chou SH, Dobbs TE, Kearns JT, Lirette ST, McCarter MS, Nguyen HM, Passaretti CL, Rose GA, Stephens CL, Zhao J, McWilliams AD. A regionally tailored epidemiological forecast and monitoring program to guide a healthcare system in the COVID-19 pandemic. J Infect Public Health. 2024 Jun; 17(6):1125-1133.

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Song J, Verbeeck J, Huang B, Hoaglin DC, Gamalo-Siebers M, Seifu Y, Wang D, Cooner F, Dong G. The win odds: statistical inference and regression. J Biopharm Stat. 2023 03; 33(2):140-150.

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Usmani SZ, Li C, Obreja M, Dimopoulos M. Post-protocol therapy and informative censoring in the CANDOR study - Authors' reply. Lancet Oncol. 2022 03; 23(3):e98.

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Bakbergenuly I, Hoaglin DC, Kulinskaya E. On the Q statistic with constant weights for standardized mean difference. Br J Math Stat Psychol. 2022 11; 75(3):444-465.

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Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score. Br J Surg. 2021 Nov 11; 108(11):1274-1292.

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Darssan D, Mishra GD, Greenwood DC, Sandin S, Brunner EJ, Crawford SL, El Khoudary SR, Brooks MM, Gold EB, Simonsen MK, Chung HF, Weiderpass E, Dobson AJ. Meta-analysis for individual participant data with a continuous exposure: A case study. J Clin Epidemiol. 2021 12; 140:79-92.

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Kulinskaya E, Hoaglin DC, Bakbergenuly I, Newman J. A Q statistic with constant weights for assessing heterogeneity in meta-analysis. Res Synth Methods. 2021 Nov; 12(6):711-730.

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