Prior-driven Sample Size Determination
Prior-Driven Sample Size Determination is a Bayesian sample size determination method that derives the required sample size primarily from the specification and influence of the prior distribution on posterior inference, distinguishing it from approaches relying predominantly on assumed effect sizes or frequentist operating characteristics.
116
Publications
6.8K
Citations
260
Authors
180
Institutions
Publications per year
2017–2026
18
116
Sample size determination in health studies a practical manual
1992 · 330 citations
Determining the Effective Sample Size of a Parametric Prior
Satoshi Morita, Peter F. Thall, Peter Müller · Biometrics · 2007 · 260 citations
1–5 of 116
260
7
h-index
7
h-index
3
h-index
3
h-index
3
h-index
1–5 of 260
180

McGill University
Montreal, Canada
7 h-index
10 publications
753 citations

Sapienza University of Rome
Rome, Italy
6 h-index
13 publications
490 citations
Montreal General Hospital
Montreal, Canada
5 h-index
11 publications
1.1K citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
4 h-index
5 publications
116 citations

Université de Moncton
Moncton, Canada
3 h-index
3 publications
146 citations

Baylor University
Waco, United States
3 h-index
5 publications
83 citations
National Cheng Kung University
Tainan City, Taiwan
3 h-index
3 publications
64 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
6 publications
248 citations
1–8 of 180
12 publications · 452 citations
11
h-index
7 publications · 417 citations
7
h-index
5 publications · 363 citations
5
h-index
4 publications · 127 citations
4
h-index
4 publications · 292 citations
4
h-index
1–5