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

Authors

260

  1. FD
    Fulvio De Santis

    Sapienza University of Rome, Italy

    7 publications · 272 citations

    7

    h-index

  2. LJ
    Lawrence Joseph

    McGill University, Canada

    7 publications · 531 citations

    7

    h-index

  3. TP
    T. Pham‐Gia

    Université de Moncton, Canada

    3 publications · 146 citations

    3

    h-index

  4. PB
    Pierpaolo Brutti

    Sapienza University of Rome, Italy

    3 publications · 128 citations

    3

    h-index

  5. PB
    Patrick Bélisle

    McGill University, Canada

    3 publications · 259 citations

    3

    h-index

1–5 of 260

Venues

  1. Statistics in Medicine

    12 publications · 452 citations

    11

    h-index

  2. 7

    h-index

  3. Psychometrika

    5 publications · 363 citations

    5

    h-index

  4. Journal of Statistical Planning and Inference

    4 publications · 127 citations

    4

    h-index

  5. 4

    h-index

1–5