Binary Outcome Sample Size
Binary Outcome Sample Size is a statistical determination method that specifies the minimum number of observations required to achieve predefined levels of power and significance when the outcome variable of interest is dichotomous in nature.
56
Publications
3.7K
Citations
162
Authors
128
Institutions
Publications per year
2017–2026
12
56
1–5 of 56
162
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128

Keele University
Newcastle-under-Lyme, United Kingdom
4 h-index
7 publications
1.6K citations
Hong Kong Baptist University
Hong Kong, Hong Kong
3 h-index
4 publications
51 citations
Yunnan University
Kunming, China
3 h-index
5 publications
64 citations
University of Oxford
Oxford, United Kingdom
3 h-index
3 publications
423 citations

Johns Hopkins University
Baltimore, United States
2 h-index
2 publications
38 citations
Boston University
Boston, United States
2 h-index
2 publications
53 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
3 publications
184 citations

John Radcliffe Hospital
Oxford, United Kingdom
2 h-index
2 publications
401 citations
1–8 of 128
16 publications · 942 citations
15
h-index
3 publications · 46 citations
3
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3 publications · 74 citations
3
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JBS · 3 publications · 87 citations
3
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2 publications · 103 citations
2
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1–5