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.
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 |
|---|
| 1996 | 1 | 1 | 2 | | 1997 | 1 | 3 | 4 | | 1998 | 0 | 2 | 2 | | 1999 | 0 | 1 | 1 | | 2000 | 1 | 4 | 5 | | 2001 | 0 | 3 | 3 | | 2002 | 2 | 6 | 8 | | 2003 | 5 | 12 | 17 | | 2004 | 3 | 10 | 13 | | 2005 | 4 | 21 | 25 | | 2006 | 6 | 20 | 26 | | 2007 | 7 | 16 | 23 | | 2008 | 4 | 17 | 21 | | 2009 | 6 | 21 | 27 | | 2010 | 9 | 9 | 18 | | 2011 | 12 | 23 | 35 | | 2012 | 16 | 17 | 33 | | 2013 | 13 | 24 | 37 | | 2014 | 10 | 18 | 28 | | 2015 | 13 | 12 | 25 | | 2016 | 7 | 19 | 26 | | 2017 | 13 | 18 | 31 | | 2018 | 12 | 15 | 27 | | 2019 | 17 | 18 | 35 | | 2020 | 10 | 19 | 29 | | 2021 | 6 | 5 | 11 | | 2022 | 5 | 2 | 7 | | 2023 | 1 | 2 | 3 | | 2024 | 8 | 6 | 14 | | 2025 | 1 | 2 | 3 |
To return to the timeline, click here.
Below are the most recent publications written about "Models, Statistical" by people in Profiles.
-
Goodman JE, Korchevskiy A, Wylie AG. Comparison of various methodological approaches to model asbestos thresholds for mesothelioma. Front Public Health. 2025; 13:1569343.
-
Grekov P, Pustejovsky JE, Klingbeil DA. Flexible distributional models for meta-analysis of reading fluency outcomes from single-case designs: An examination using Bayesian methods. J Sch Psychol. 2025 06; 110:101429.
-
Stoneman HR, Price AM, Trout NS, Lamont R, Tifour S, Pozdeyev N, Crooks K, Lin M, Rafaels N, Gignoux CR, Marker KM, Hendricks AE. Characterizing substructure via mixture modeling in large-scale genetic summary statistics. Am J Hum Genet. 2025 Feb 06; 112(2):235-253.
-
Vembye MH, Pustejovsky JE, Pigott TD. Conducting power analysis for meta-analysis with dependent effect sizes: Common guidelines and an introduction to the POMADE R package. Res Synth Methods. 2024 Nov; 15(6):1214-1230.
-
Rice JD, Kempe A. Approximate maximum likelihood estimation in cure models using aggregated data, with application to HPV vaccine completion. Stat Med. 2024 Nov 10; 43(25):4872-4886.
-
Smirnova E, Cui E, Tabacu L, Leroux A. Scalar-on-function regression: Estimation and inference under complex survey designs. Stat Med. 2024 Oct 15; 43(23):4559-4574.
-
Contini ME, Spence JR, Stanley DJ. Introducing prediction intervals for sample means. Biochem Med (Zagreb). 2024 Oct 15; 34(3):030101.
-
De Boeck P, DeKay ML, Pek J. Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes. Psychometrika. 2024 09; 89(3):1055-1073.
-
Mutiso F, Pearce JL, Benjamin-Neelon SE, Mueller NT, Li H, Neelon B. A Marginalized Zero-Inflated Negative Binomial Model for Spatial Data: Modeling COVID-19 Deaths in Georgia. Biom J. 2024 Jul; 66(5):e202300182.
-
Thomas SD, Kaizer AM. Discussion on "LEAP: the latent exchangeability prior for borrowing information from historical data" by Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, H. Amy Xia, and Joseph G. Ibrahim. Biometrics. 2024 Jul 01; 80(3).
|
People  People who have written about this concept. _
Similar Concepts
People who have written about this concept.
_
Top Journals
Top journals in which articles about this concept have been published.
|