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
|
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
|
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
|
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 |
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1995 | 0 | 1 | 1 |
1996 | 1 | 1 | 2 |
1997 | 0 | 1 | 1 |
1998 | 0 | 3 | 3 |
1999 | 0 | 2 | 2 |
2000 | 0 | 1 | 1 |
2002 | 0 | 3 | 3 |
2003 | 0 | 8 | 8 |
2004 | 1 | 4 | 5 |
2005 | 2 | 4 | 6 |
2006 | 1 | 10 | 11 |
2007 | 2 | 10 | 12 |
2008 | 1 | 9 | 10 |
2009 | 2 | 5 | 7 |
2010 | 1 | 3 | 4 |
2011 | 1 | 16 | 17 |
2012 | 1 | 8 | 9 |
2013 | 0 | 5 | 5 |
2014 | 0 | 5 | 5 |
2015 | 4 | 3 | 7 |
2016 | 1 | 2 | 3 |
2017 | 0 | 3 | 3 |
2018 | 0 | 3 | 3 |
2019 | 1 | 2 | 3 |
2020 | 1 | 0 | 1 |
2023 | 0 | 1 | 1 |
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click here.
Below are the most recent publications written about "Data Interpretation, Statistical" by people in Profiles.
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Teunis T, Samadi A, Chen N, Ring D. Research methodology: the Bayesian statistical framework and the future of trial design. J Hand Surg Eur Vol. 2023 06; 48(6):593-597.
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Plana-Ripoll O, Canudas-Romo V, Weye N, Laursen TM, McGrath JJ, Andersen PK. lillies: An R package for the estimation of excess Life Years Lost among patients with a given disease or condition. PLoS One. 2020; 15(3):e0228073.
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Weintraub WS. Role of Big Data in Cardiovascular Research. J Am Heart Assoc. 2019 07 16; 8(14):e012791.
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Yuan I, Olbrecht VA, Mensinger JL, Zhang B, Davidson AJ, von Ungern-Sternberg BS, Skowno J, Lian Q, Song X, Zhao P, Zhang J, Zhang M, Zuo Y, de Graaff JC, Vutskits L, Szmuk P, Kurth CD. Statistical Analysis Plan for "An international multicenter study of isoelectric electroencephalography events in infants and young children during anesthesia for surgery". Paediatr Anaesth. 2019 Mar; 29(3):243-249.
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Yuan I, Topjian AA, Kurth CD, Kirschen MP, Ward CG, Zhang B, Mensinger JL. Guide to the statistical analysis plan. Paediatr Anaesth. 2019 Mar; 29(3):237-242.
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Lee AJ, Chang I, Burel JG, Lindestam Arlehamn CS, Mandava A, Weiskopf D, Peters B, Sette A, Scheuermann RH, Qian Y. DAFi: A directed recursive data filtering and clustering approach for improving and interpreting data clustering identification of cell populations from polychromatic flow cytometry data. Cytometry A. 2018 06; 93(6):597-610.
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Malatack JJ. The Case for the Case Report. Pediatrics. 2018 04; 141(Suppl 5):S379-S384.
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Tario JD, Conway AN, Muirhead KA, Wallace PK. Monitoring Cell Proliferation by Dye Dilution: Considerations for Probe Selection. Methods Mol Biol. 2018; 1678:249-299.
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Weintraub WS, Yeh RW. Challenges of Assessing Therapeutic or Diagnostic Outcomes with Observational Data. Am J Med. 2018 02; 131(2):206-210.
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Kontopantelis E, Sperrin M, Mamas MA, Buchan IE. Investigating heterogeneity of effects and associations using interaction?terms. J Clin Epidemiol. 2018 01; 93:79-83.