Variance-based Sample Size
Variance-Based Sample Size is a sample size determination method in Bayesian statistics that specifies the minimum number of observations required to achieve a desired level of precision by explicitly accounting for the variance of the posterior distribution.
31
Publications
2.1K
Citations
56
Authors
40
Institutions
Publications per year
2017–2026
3
31
56
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W.E. Upjohn Institute for Employment Research, United States
1 publications · 67 citations
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1
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1–5 of 56
40

University of Minnesota
Minneapolis, United States
1 h-index
1 publications
35 citations
St. Michael's Hospital
Toronto, Canada
1 h-index
4 publications
184 citations
Guru Nanak Dev University
Amritsar, India
1 h-index
2 publications
132 citations
Research and Development for Silicates and Ceramics
Budapest, Hungary
1 h-index
1 publications
44 citations

Radboud University Medical Center
Nijmegen, The Netherlands
1 h-index
3 publications
1.7K citations
Zhejiang A & F University
Lin’an Shi, China
1 h-index
1 publications
66 citations

Sapienza University of Rome
Rome, Italy
1 h-index
1 publications
57 citations
Air Force Engineering University
Xi'an, China
1 h-index
2 publications
46 citations
1–8 of 40
4 publications · 487 citations
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3 publications · 87 citations
3
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3 publications · 121 citations
3
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Repository · 2 publications · 44 citations
2
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MPEES · 1 publications · 47 citations
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