 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
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| MeSH Number(s) |
E05.318.740.500 E05.599.835 N05.715.360.750.530 N06.850.520.830.500
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| 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
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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 |
|---|
| 1988 | 1 | 0 | 1 | | 1989 | 1 | 3 | 4 | | 1990 | 1 | 2 | 3 | | 1991 | 1 | 0 | 1 | | 1992 | 0 | 1 | 1 | | 1993 | 3 | 3 | 6 | | 1994 | 4 | 3 | 7 | | 1995 | 2 | 7 | 9 | | 1996 | 1 | 4 | 5 | | 1997 | 2 | 2 | 4 | | 1998 | 3 | 1 | 4 | | 1999 | 3 | 5 | 8 | | 2000 | 1 | 8 | 9 | | 2001 | 1 | 4 | 5 | | 2002 | 4 | 12 | 16 | | 2003 | 1 | 11 | 12 | | 2004 | 2 | 18 | 20 | | 2005 | 3 | 19 | 22 | | 2006 | 3 | 16 | 19 | | 2007 | 11 | 21 | 32 | | 2008 | 3 | 19 | 22 | | 2009 | 4 | 8 | 12 | | 2010 | 10 | 19 | 29 | | 2011 | 5 | 15 | 20 | | 2012 | 12 | 18 | 30 | | 2013 | 11 | 14 | 25 | | 2014 | 6 | 20 | 26 | | 2015 | 15 | 8 | 23 | | 2016 | 8 | 9 | 17 | | 2017 | 10 | 13 | 23 | | 2018 | 4 | 12 | 16 | | 2019 | 6 | 6 | 12 | | 2020 | 5 | 8 | 13 | | 2021 | 0 | 1 | 1 |
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Below are the most recent publications written about "Models, Statistical" by people in Profiles.
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Liang Y, Aguet F, Barbeira AN, Ardlie K, Im HK. A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction. Nat Commun. 2021 03 03; 12(1):1424.
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Gostic KM, McGough L, Baskerville EB, Abbott S, Joshi K, Tedijanto C, Kahn R, Niehus R, Hay JA, De Salazar PM, Hellewell J, Meakin S, Munday JD, Bosse NI, Sherrat K, Thompson RN, White LF, Huisman JS, Scire J, Bonhoeffer S, Stadler T, Wallinga J, Funk S, Lipsitch M, Cobey S. Practical considerations for measuring the effective reproductive number, Rt. PLoS Comput Biol. 2020 12; 16(12):e1008409.
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Saoud R, Heidar NA, Cimadamore A, Paner GP. Incorporating Prognostic Biomarkers into Risk Assessment Models and TNM Staging for Prostate Cancer. Cells. 2020 09 17; 9(9).
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Churpek MM, Carey KA, Edelson DP, Singh T, Astor BC, Gilbert ER, Winslow C, Shah N, Afshar M, Koyner JL. Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury. JAMA Netw Open. 2020 08 03; 3(8):e2012892.
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Russ WP, Figliuzzi M, Stocker C, Barrat-Charlaix P, Socolich M, Kast P, Hilvert D, Monasson R, Cocco S, Weigt M, Ranganathan R. An evolution-based model for designing chorismate mutase enzymes. Science. 2020 07 24; 369(6502):440-445.
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Moore TM, Kaczkurkin AN, Durham EL, Jeong HJ, McDowell MG, Dupont RM, Applegate B, Tackett JL, Cardenas-Iniguez C, Kardan O, Akcelik GN, Stier AJ, Rosenberg MD, Hedeker D, Berman MG, Lahey BB. Criterion validity and relationships between alternative hierarchical dimensional models of general and specific psychopathology. J Abnorm Psychol. 2020 Oct; 129(7):677-688.
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Bhalla K, Gleason K. Effects of vehicle safety design on road traffic deaths, injuries, and public health burden in the Latin American region: a modelling study. Lancet Glob Health. 2020 06; 8(6):e819-e828.
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Morrison J, Knoblauch N, Marcus JH, Stephens M, He X. Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics. Nat Genet. 2020 07; 52(7):740-747.
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He J, Zhang JX, Chen CT, Ma Y, De Guzman R, Meng J, Pu Y. The Relative Importance of Clinical and Socio-demographic Variables in Prognostic Prediction in Non-Small Cell Lung Cancer: A Variable Importance Approach. Med Care. 2020 05; 58(5):461-467.
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Shah SH, Chen YF, Moss HE, Rubin DS, Joslin CE, Roth S. Predicting Risk of Perioperative Ischemic Optic Neuropathy in Spine Fusion Surgery: A Cohort Study Using the National Inpatient Sample. Anesth Analg. 2020 04; 130(4):967-974.
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