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 |
|---|
| 1996 | 0 | 1 | 1 |
| 2000 | 0 | 1 | 1 |
| 2001 | 1 | 0 | 1 |
| 2003 | 0 | 1 | 1 |
| 2005 | 0 | 2 | 2 |
| 2006 | 0 | 4 | 4 |
| 2007 | 0 | 1 | 1 |
| 2008 | 0 | 3 | 3 |
| 2009 | 1 | 4 | 5 |
| 2010 | 2 | 3 | 5 |
| 2012 | 2 | 6 | 8 |
| 2013 | 0 | 1 | 1 |
| 2014 | 0 | 5 | 5 |
| 2015 | 0 | 2 | 2 |
| 2016 | 2 | 2 | 4 |
| 2017 | 16 | 42 | 58 |
| 2018 | 24 | 48 | 72 |
| 2019 | 8 | 18 | 26 |
| 2020 | 1 | 9 | 10 |
| 2021 | 0 | 3 | 3 |
To return to the timeline, click here.
Below are the most recent publications written about "Data Interpretation, Statistical" by people in Profiles.
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A differential equations model-fitting analysis of COVID-19 epidemiological data to explain multi-wave dynamics. Sci Rep. 2021 08 11; 11(1):16312.
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A modified SEIR model to predict the behavior of the early stage in coronavirus and coronavirus-like outbreaks. Sci Rep. 2021 08 11; 11(1):16331.
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HIV infection and risk of COVID-19 mortality: A meta-analysis. Medicine (Baltimore). 2021 Jul 02; 100(26):e26573.
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Evaluating the impact of the COVID-19 pandemic and state restrictions on public interest in tanning: a Google Trends analysis. Clin Exp Dermatol. 2021 Dec; 46(8):1579-1582.
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In-depth, single-centre, analysis of changes in emergency service access after the spread of COVID-19 across Italy. Clin Exp Dermatol. 2021 Dec; 46(8):1588-1589.
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Developing Treatment Guidelines During a Pandemic Health Crisis: Lessons Learned From COVID-19. Ann Intern Med. 2021 08; 174(8):1151-1158.
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Excess Deaths Reveal the Substantial Impact of COVID-19 Pandemic on Mortality in the State of Florida. Am J Public Health. 2021 07; 111(7):e3-e4.
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Discussion on "Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomes" by David Benkeser, Ivan Diaz, Alex Luedtke, Jodi Segal, Daniel Scharfstein, and Michael Rosenblum. Biometrics. 2021 12; 77(4):1489-1491.
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Discussion of "Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomes". Biometrics. 2021 12; 77(4):1485-1488.
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Rejoinder: Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomes. Biometrics. 2021 12; 77(4):1492-1494.