 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 UAMS Profiles 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 |
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| 2025 | 1 | 1 | 2 | | 2021 | 3 | 2 | 5 | | 2020 | 2 | 1 | 3 | | 2019 | 1 | 1 | 2 | | 2018 | 0 | 5 | 5 | | 2017 | 2 | 2 | 4 | | 2016 | 2 | 4 | 6 | | 2015 | 0 | 4 | 4 | | 2014 | 4 | 3 | 7 | | 2013 | 2 | 7 | 9 | | 2012 | 6 | 10 | 16 | | 2011 | 3 | 2 | 5 | | 2010 | 1 | 4 | 5 | | 2009 | 5 | 6 | 11 | | 2008 | 0 | 4 | 4 | | 2007 | 3 | 3 | 6 | | 2006 | 1 | 8 | 9 | | 2005 | 3 | 4 | 7 | | 2004 | 3 | 4 | 7 | | 2003 | 1 | 0 | 1 | | 2002 | 1 | 0 | 1 | | 2001 | 1 | 2 | 3 | | 2000 | 2 | 1 | 3 | | 1999 | 1 | 0 | 1 | | 1998 | 0 | 1 | 1 | | 1995 | 1 | 1 | 2 | | 1994 | 1 | 0 | 1 | | 1993 | 0 | 1 | 1 | | 1991 | 0 | 1 | 1 | | 1990 | 0 | 1 | 1 |
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Below are the most recent publications written about "Models, Statistical" by people in Profiles over the past ten years.
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Frometa-Castillo T, Pyakuryal A, Narayanasamy G, Sio T. The effective normal tissue non-complication probability (E0): a probabilistic methodology in the representation of the stochastic health safety effects of low levels of ionizing radiation on the human tissues or organs. Int J Radiat Biol. 2025; 101(4):422-426.
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Wan F. Propensity Score Matching: should we use it in designing observational studies? BMC Med Res Methodol. 2025 Jan 29; 25(1):25.
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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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Wan F, Colditz GA, Sutcliffe S. Matched Versus Unmatched Analysis of Matched Case-Control Studies. Am J Epidemiol. 2021 09 01; 190(9):1859-1866.
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Wan F. Statistical analysis of two arm randomized pre-post designs with one post-treatment measurement. BMC Med Res Methodol. 2021 07 24; 21(1):150.
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Datta A, Flynn NR, Barnette DA, Woeltje KF, Miller GP, Swamidass SJ. Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort. PLoS Comput Biol. 2021 07; 17(7):e1009053.
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Amdani S, Simpson KE, Thrush P, Shih R, Simmonds J, Knecht K, Mogul DB, Hurley K, Koehl D, Cantor R, Naftel D, Kirklin JK, Daly KP. Hepatorenal dysfunction assessment with the Model for End-Stage Liver Disease Excluding INR score predicts worse survival after heart transplant in pediatric Fontan patients. J Thorac Cardiovasc Surg. 2022 04; 163(4):1462-1473.e12.
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Li Q, He Z, Guo Y, Zhang H, George TJ, Hogan W, Charness N, Bian J. Assessing the Validity of a a priori Patient-Trial Generalizability Score using Real-world Data from a Large Clinical Data Research Network: A Colorectal Cancer Clinical Trial Case Study. AMIA Annu Symp Proc. 2019; 2019:1101-1110.
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Mason MJ, Schinke C, Eng CLP, Towfic F, Gruber F, Dervan A, White BS, Pratapa A, Guan Y, Chen H, Cui Y, Li B, Yu T, Chaibub Neto E, Mavrommatis K, Ortiz M, Lyzogubov V, Bisht K, Dai HY, Schmitz F, Flynt E, Danziger SA, Ratushny A, Dalton WS, Goldschmidt H, Avet-Loiseau H, Samur M, Hayete B, Sonneveld P, Shain KH, Munshi N, Auclair D, Hose D, Morgan G, Trotter M, Bassett D, Goke J, Walker BA, Thakurta A, Guinney J. Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease. Leukemia. 2020 07; 34(7):1866-1874.
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Zhang Q. Testing Differential Gene Networks under Nonparanormal Graphical Models with False Discovery Rate Control. Genes (Basel). 2020 02 05; 11(2).
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Xu F, Zhu J, Sun N, Wang L, Xie C, Tang Q, Mao X, Fu X, Brickell A, Hao Y, Sun C. Development and validation of prediction models for hypertension risks in rural Chinese populations. J Glob Health. 2019 Dec; 9(2):020601.
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Loux T, Nelson EJ, Arnold LD, Shacham E, Schootman M. Using multilevel regression with poststratification to obtain regional health estimates from a Facebook-recruited sample. Ann Epidemiol. 2019 11; 39:15-20.e5.
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Cook G, Royle KL, Pawlyn C, Hockaday A, Shah V, Kaiser MF, Brown SR, Gregory WM, Child JA, Davies FE, Morgan GJ, Cairns DA, Jackson GH. A clinical prediction model for outcome and therapy delivery in transplant-ineligible patients with myeloma (UK Myeloma Research Alliance Risk Profile): a development and validation study. Lancet Haematol. 2019 Mar; 6(3):e154-e166.
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Wan F. A note on a naive regression-based test on the validity of an instrumental variable. Stat Med. 2018 12 10; 37(28):4330-4333.
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Wan F. Matched or unmatched analyses with propensity-score-matched data? Stat Med. 2019 01 30; 38(2):289-300.
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Ramamonjiarivelo Z, Weech-Maldonado R, Hearld L, Pradhan R, Davlyatov GK. The Privatization of Public Hospitals: Its Impact on Financial Performance. Med Care Res Rev. 2020 06; 77(3):249-260.
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ElHassan NO, Bai S, Gibson N, Holland G, Robbins JM, Kaiser JR. The impact of prematurity and maternal socioeconomic status and education level on achievement-test scores up to 8th grade. PLoS One. 2018; 13(5):e0198083.
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Fuller CW. Modeling the impact of players' workload on the injury-burden of English Premier League football clubs. Scand J Med Sci Sports. 2018 Jun; 28(6):1715-1721.
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Bowman T, Chavez T, Khan K, Wu J, Chakraborty A, Rajaram N, Bailey K, El-Shenawee M. Pulsed terahertz imaging of breast cancer in freshly excised murine tumors. J Biomed Opt. 2018 02; 23(2):1-13.
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Mamaril CBC, Mays GP, Branham DK, Bekemeier B, Marlowe J, Timsina L. Estimating the Cost of Providing Foundational Public Health Services. Health Serv Res. 2018 08; 53 Suppl 1:2803-2820.
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Fuller CW. A Kinetic Model Describing Injury-Burden in Team Sports. Sports Med. 2017 Dec; 47(12):2641-2651.
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Fuller CW. Modelling injury-burden in rugby sevens. J Sci Med Sport. 2018 Jun; 21(6):553-557.
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Matsui S, Noma H, Qu P, Sakai Y, Matsui K, Heuck C, Crowley J. Multi-subgroup gene screening using semi-parametric hierarchical mixture models and the optimal discovery procedure: Application to a randomized clinical trial in multiple myeloma. Biometrics. 2018 03; 74(1):313-320.
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Wan F. Simulating survival data with predefined censoring rates for proportional hazards models. Stat Med. 2017 02 28; 36(5):838-854.
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Vazquez Guillamet R, Ursu O, Iwamoto G, Moseley PL, Oprea T. Chronic obstructive pulmonary disease phenotypes using cluster analysis of electronic medical records. Health Informatics J. 2018 12; 24(4):394-409.
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Hogan WR, Wagner MM, Brochhausen M, Levander J, Brown ST, Millett N, DePasse J, Hanna J. The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation. J Biomed Semantics. 2016 Aug 18; 7:50.
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Pant S, Patel S, Patel N, Deshmukh A, Mehta JL. Reply: Caveat Emptor: Antibiotics, Endocarditis, and Statistical Artifacts. J Am Coll Cardiol. 2016 05 03; 67(17):2090-1.
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Wan F, Mitra N. An evaluation of bias in propensity score-adjusted non-linear regression models. Stat Methods Med Res. 2018 03; 27(3):846-862.
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Lingappan K, Kaiser JR, Srinivasan C, Gunn AJ. Relationship between PCO2 and unfavorable outcome in infants with moderate-to-severe hypoxic ischemic encephalopathy. Pediatr Res. 2016 08; 80(2):204-8.
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Yan Q, Weeks DE, Celed?n JC, Tiwari HK, Li B, Wang X, Lin WY, Lou XY, Gao G, Chen W, Liu N. Associating Multivariate Quantitative Phenotypes with Genetic Variants in Family Samples with a Novel Kernel Machine Regression Method. Genetics. 2015 Dec; 201(4):1329-39.
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Ivanescu AE, Li P, George B, Brown AW, Keith SW, Raju D, Allison DB. The importance of prediction model validation and assessment in obesity and nutrition research. Int J Obes (Lond). 2016 06; 40(6):887-94.
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Scarisbrick JJ, Prince HM, Vermeer MH, Quaglino P, Horwitz S, Porcu P, Stadler R, Wood GS, Beylot-Barry M, Pham-Ledard A, Foss F, Girardi M, Bagot M, Michel L, Battistella M, Guitart J, Kuzel TM, Martinez-Escala ME, Estrach T, Papadavid E, Antoniou C, Rigopoulos D, Nikolaou V, Sugaya M, Miyagaki T, Gniadecki R, Sanches JA, Cury-Martins J, Miyashiro D, Servitje O, Muniesa C, Berti E, Onida F, Corti L, Hodak E, Amitay-Laish I, Ortiz-Romero PL, Rodr?guez-Peralto JL, Knobler R, Porkert S, Bauer W, Pimpinelli N, Grandi V, Cowan R, Rook A, Kim E, Pileri A, Patrizi A, Pujol RM, Wong H, Tyler K, Stranzenbach R, Querfeld C, Fava P, Maule M, Willemze R, Evison F, Morris S, Twigger R, Talpur R, Kim J, Ognibene G, Li S, Tavallaee M, Hoppe RT, Duvic M, Whittaker SJ, Kim YH. Cutaneous Lymphoma International Consortium Study of Outcome in Advanced Stages of Mycosis Fungoides and S?zary Syndrome: Effect of Specific Prognostic Markers on Survival and Development of a Prognostic Model. J Clin Oncol. 2015 Nov 10; 33(32):3766-73.
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Odom-Forren J, Rayens MK, Gokun Y, Jalota L, Radke O, Hooper V, Wiggins AT, Apfel CC. The Relationship of Pain and Nausea in Postoperative Patients for 1 Week After Ambulatory Surgery. Clin J Pain. 2015 Oct; 31(10):845-51.
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