Efficacy Boundaries

Efficacy Boundaries is a statistical decision rule in sequential testing that defines the threshold criteria for rejecting the null hypothesis at interim analyses, distinguishing it from futility or safety boundaries by focusing specifically on detecting a predefined clinically meaningful treatment effect.

6

Publications

927

Citations

52

Authors

39

Institutions

Publications per year

2017–2026

4

Variants

Efficacy Stopping Boundaries

Authors

52

  1. PG
    Pranab Ghosh

    Pfizer (United States), United States

    2 publications · 67 citations

    2

    h-index

  2. CR
    Cyrus R. Mehta

    Cytel (United States), United States

    2 publications · 67 citations

    2

    h-index

  3. VE
    Victoria Ebiana

    Merck & Co., Inc., Rahway, NJ, USA (United States), United States

    1 publications · 759 citations

    1

    h-index

  4. AC
    A‐Yong Cao

    Fudan University Shanghai Cancer Center, China

    1 publications · 65 citations

    1

    h-index

  5. FO
    Francesco Orlandi

    Instituto Nacional del Tórax, Chile

    1 publications · 759 citations

    1

    h-index

1–5 of 52

Venues

  1. Cell Research

    1 publications · 65 citations

    1

    h-index

  2. Biometrics

    1 publications · 53 citations

    1

    h-index

  3. Biometrical Journal

    1 publications · 19 citations

    1

    h-index

  4. Statistics in Medicine

    1 publications · 14 citations

    1

    h-index

  5. Journal of Clinical Oncology

    1 publications · 759 citations

    1

    h-index

1–5