 Data Interpretation, Statistical
"Data Interpretation, 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.
Application of statistical procedures to analyze specific observed or assumed facts from a particular study.
| Descriptor ID |
D003627
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| MeSH Number(s) |
E05.245.380 E05.318.740.300 L01.313.500.750.190.380 N05.715.360.750.300 N06.850.520.830.300
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| Concept/Terms |
Data Interpretation, Statistical- Data Interpretation, Statistical
- Data Analysis, Statistical
- Statistical Data Interpretation
- Statistical Data Analysis
- Analyses, Statistical Data
- Analysis, Statistical Data
- Data Analyses, Statistical
- Statistical Data Analyses
- Data Interpretations, Statistical
- Interpretations, Statistical Data
- Statistical Data Interpretations
- Interpretation, Statistical Data
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Below are MeSH descriptors whose meaning is more general than "Data Interpretation, Statistical".
Below are MeSH descriptors whose meaning is more specific than "Data Interpretation, Statistical".
This graph shows the total number of publications written about "Data Interpretation, Statistical" by people in this website by year, and whether "Data Interpretation, 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 |
|---|
| 1995 | 1 | 2 | 3 | | 1996 | 1 | 3 | 4 | | 1997 | 1 | 0 | 1 | | 1998 | 1 | 0 | 1 | | 1999 | 1 | 1 | 2 | | 2000 | 0 | 6 | 6 | | 2001 | 0 | 2 | 2 | | 2002 | 0 | 4 | 4 | | 2003 | 0 | 9 | 9 | | 2004 | 0 | 8 | 8 | | 2005 | 2 | 7 | 9 | | 2006 | 2 | 9 | 11 | | 2007 | 4 | 19 | 23 | | 2008 | 4 | 15 | 19 | | 2009 | 4 | 11 | 15 | | 2010 | 4 | 13 | 17 | | 2011 | 1 | 14 | 15 | | 2012 | 4 | 13 | 17 | | 2013 | 3 | 13 | 16 | | 2014 | 3 | 4 | 7 | | 2015 | 4 | 11 | 15 | | 2016 | 5 | 4 | 9 | | 2017 | 0 | 8 | 8 | | 2018 | 9 | 8 | 17 | | 2019 | 1 | 8 | 9 | | 2020 | 5 | 5 | 10 | | 2021 | 2 | 3 | 5 | | 2022 | 0 | 1 | 1 |
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Below are the most recent publications written about "Data Interpretation, Statistical" by people in Profiles.
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Lutz SM, Voorhies K, Wu AC, Hokanson J, Vansteelandt S, Lange C. The influence of unmeasured confounding on the MR Steiger approach. Genet Epidemiol. 2022 03; 46(2):139-141.
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Jacoby P, Whitehouse A, Leonard H, Saldaris J, Demarest S, Benke T, Downs J. Devising a Missing Data Rule for a Quality of Life Questionnaire-A Simulation Study. J Dev Behav Pediatr. 2022 08 01; 43(6):e414-e418.
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Glanz JM, Clarke CL, Daley MF, Shoup JA, Hambidge SJ, Williams JTB, Groom HC, Kharbanda EO, Klein NP, Jackson LA, Lewin BJ, McClure DL, Xu S, DeStefano F. The Childhood Vaccination Schedule and the Lack of Association With Type 1 Diabetes. Pediatrics. 2021 12 01; 148(6).
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Martiniano SL, Croak K, Bonn G, Sontag MK, Sagel SD. Improving outcomes for Colorado's IRT-IRT-DNA cystic fibrosis newborn screening algorithm by implementing floating cutoffs. Mol Genet Metab. 2021 Sep-Oct; 134(1-2):65-67.
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Gelbard RB, Cripps MW. Pitfalls in Study Interpretation. Surg Infect (Larchmt). 2021 Aug; 22(6):646-650.
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Arriaga-MacKenzie IS, Matesi G, Chen S, Ronco A, Marker KM, Hall JR, Scherenberg R, Khajeh-Sharafabadi M, Wu Y, Gignoux CR, Null M, Hendricks AE. Summix: A method for detecting and adjusting for population structure in genetic summary data. Am J Hum Genet. 2021 07 01; 108(7):1270-1282.
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Kroeger CM, Ejima K, Hannon BA, Halliday TM, McComb B, Teran-Garcia M, Dawson JA, King DB, Brown AW, Allison DB. Persistent confusion in nutrition and obesity research about the validity of classic nonparametric tests in the presence of heteroscedasticity: evidence of the problem and valid alternatives. Am J Clin Nutr. 2021 03 11; 113(3):517-524.
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Laubach ZM, Murray EJ, Hoke KL, Safran RJ, Perng W. A biologist's guide to model selection and causal inference. Proc Biol Sci. 2021 01 27; 288(1943):20202815.
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Pugh-Bernard A, Kenyon KL. Mini-review: CREATE-ive use of primary literature in the science classroom. Neurosci Lett. 2021 01 18; 742:135532.
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Stevens LM, Mortazavi BJ, Deo RC, Curtis L, Kao DP. Recommendations for Reporting Machine Learning Analyses in Clinical Research. Circ Cardiovasc Qual Outcomes. 2020 10; 13(10):e006556.
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