Conditional Power

Conditional Power is a statistical metric in sequential testing that quantifies the probability of rejecting the null hypothesis at a future stage given the current data and assumed parameter values, distinguishing it from other power measures by its dependence on interim results and conditioning on specific stopping rules or future outcomes.

114

Publications

7.8K

Citations

245

Authors

163

Institutions

Publications per year

2017–2026

18

Authors

245

  1. PB
    Péter Bauer

    Statistics Austria, Austria

    5 publications · 485 citations

    5

    h-index

  2. CR
    Cyrus R. Mehta

    Cytel (United States), United States

    4 publications · 158 citations

    4

    h-index

  3. EL
    Edward L. Korn

    National Cancer Institute, United States

    3 publications · 62 citations

    3

    h-index

  4. KK
    K. K. Gordon Lan

    National Heart Lung and Blood Institute, United States

    3 publications · 552 citations

    3

    h-index

  5. BF
    Boris Freidlin

    National Cancer Institute, United States

    3 publications · 62 citations

    3

    h-index

1–5 of 245

Venues

  1. Statistics in Medicine

    24 publications · 1.2K citations

    17

    h-index

  2. Clinical Trials

    8 publications · 354 citations

    8

    h-index

  3. Biometrical Journal

    7 publications · 289 citations

    7

    h-index

  4. Biometrics

    6 publications · 1K citations

    6

    h-index

  5. Journal of Biopharmaceutical Statistics

    JBS · 6 publications · 158 citations

    6

    h-index

1–5