Predictive Probability Design

Predictive Probability Design is a Bayesian sample size determination method that uses the predictive probability of observing a conclusive outcome given current trial data and assumed future data distributions to guide design decisions.

8

Publications

424

Citations

24

Authors

15

Institutions

Publications per year

2017–2026

2

Authors

24

  1. SA
    Spencer A. Peterson

    Environmental Protection Agency, United States

    1 publications · 125 citations

    1

    h-index

  2. JV
    John Van Sickle

    Environmental Protection Agency, United States

    1 publications · 125 citations

    1

    h-index

  3. RM
    Robert M. Hughes

    Oregon State University, United States

    1 publications · 125 citations

    1

    h-index

  4. PF
    Parvin Fardipour

    Pfizer (United States), United States

    1 publications · 42 citations

    1

    h-index

  5. SL
    Suyu Liu

    The University of Texas MD Anderson Cancer Center, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 24

Venues

  1. Clinical Trials

    2 publications · 224 citations

    2

    h-index

  2. Environmental Science & Technology

    1 publications · 125 citations

    1

    h-index

  3. Psychological Methods

    1 publications · 28 citations

    1

    h-index

  4. Statistics in Biosciences

    SIB · 1 publications · 10 citations

    1

    h-index

  5. Computers and Biomedical Research

    1 publications · 11 citations

    1

    h-index

1–5