Statistical Summaries
Statistical Summaries is a systematic representation of data characteristics, within the broader class of data summarization methods, that employs numerical measures such as central tendency, dispersion, and distribution shape to quantitatively describe key patterns and variability in a dataset.
287
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43K
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729
Authors
344
Institutions
Publications per year
2017–2026
56
Parents
287
Practical methods for incorporating summary time-to-event data into meta-analysis
Jayne F. Tierney, Lesley Stewart, Davina Ghersi et al. · Trials · 2007 · 6.4K citations · Full text
An Introduction to Statistical Methods and Data Analysis
Technometrics · 1994 · 5.4K citations
Descriptive statistics and normality tests for statistical data
Anshul Gupta, Prabhakar Mishra, Uttam Singh et al. · Annals of Cardiac Anaesthesia · 2019 · 2.5K citations · Full text
Natural Sciences, Mathematics, Categorical Data Analysis +15
John A. H. Lee · JAMA · 1986 · 2.3K citations
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344
New York University
New York, United States
5 h-index
12 publications
383 citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
7 publications
141 citations
Harvard University
Cambridge, United States
5 h-index
9 publications
821 citations
University of California, Berkeley
Berkeley, United States
4 h-index
5 publications
208 citations
AT&T (United States)
Bedminster, United States
4 h-index
7 publications
569 citations
University of Oxford
Oxford, United Kingdom
4 h-index
4 publications
187 citations
Columbia University
New York, United States
4 h-index
5 publications
178 citations
University of Michigan
Ann Arbor, United States
4 h-index
7 publications
1.5K citations
1–8 of 344
10 publications · 7.4K citations
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5 publications · 108 citations
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5 publications · 161 citations
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Repository · 4 publications · 61 citations
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CRO · 4 publications · 219 citations
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