Continuous Outcome Sample Size

Continuous Outcome Sample Size is a statistical method that determines the minimum number of observations required to achieve specified levels of power and precision when estimating or testing hypotheses about population parameters in studies where the outcome variable is measured on a continuous scale.

43

Publications

5.2K

Citations

111

Authors

87

Institutions

Publications per year

2017–2026

10

Authors

111

  1. SJ
    Stephen J. Walters

    University of Sheffield, United Kingdom

    3 publications · 1.1K citations

    3

    h-index

  2. SA
    Steven A. Julious

    University of Sheffield, United Kingdom

    3 publications · 2K citations

    3

    h-index

  3. TH
    Toshimitsu Hamasaki

    The University of Osaka, Japan

    2 publications · 68 citations

    2

    h-index

  4. GS
    Gary S. Collins

    University of Oxford, United Kingdom

    2 publications · 265 citations

    2

    h-index

  5. MB
    Mohit Bhandari

    McMaster University, Canada

    2 publications · 97 citations

    2

    h-index

1–5 of 111

Venues

  1. Statistics in Medicine

    10 publications · 564 citations

    10

    h-index

  2. Statistical Methods in Medical Research

    4 publications · 2K citations

    4

    h-index

  3. Biometrics

    3 publications · 56 citations

    3

    h-index

  4. Journal of Biopharmaceutical Statistics

    JBS · 2 publications · 71 citations

    2

    h-index

  5. Pharmaceutical Statistics

    2 publications · 338 citations

    2

    h-index

1–5