Proportion-based Sample Size Calculation

Proportion-Based Sample Size Calculation is a statistical method for determining the minimum required sample size in research studies by focusing on estimating or testing population proportions, distinguished from other sample size determination techniques by its reliance on binary outcome assumptions and the precision or power requirements associated with proportional data.

89

Publications

21K

Citations

173

Authors

119

Institutions

Publications per year

2017–2026

13

Authors

173

  1. AN
    Ahmed Negida

    Zagazig University, Egypt

    3 publications · 160 citations

    3

    h-index

  2. JL
    Joseph L. Fleiss

    Columbia University, United States

    3 publications · 1.3K citations

    3

    h-index

  3. JL
    J. L. Fleiss

    3 publications · 3.3K citations

    3

    h-index

  4. MC
    Myron Chang

    University of Florida, United States

    2 publications · 45 citations

    2

    h-index

  5. EL
    Edwin L. Crow

    National Institute of Standards and Technology, United States

    2 publications · 167 citations

    2

    h-index

1–5 of 173

Venues

  1. PubMed

    Repository · 9 publications · 432 citations

    9

    h-index

  2. Statistics in Medicine

    6 publications · 1.3K citations

    5

    h-index

  3. The American Statistician

    4 publications · 73 citations

    4

    h-index

  4. Biometrika

    4 publications · 189 citations

    4

    h-index

  5. Journal of Clinical Epidemiology

    4 publications · 89 citations

    4

    h-index

1–5