Permutation-based Randomization

Permutation-Based Randomization is a statistical method of treatment assignment that belongs to the class of randomization techniques, distinguished by its reliance on the systematic reordering of treatment labels across experimental units to ensure balance and control for confounding variables under a fixed marginal distribution.

51

Publications

4.6K

Citations

115

Authors

94

Institutions

Publications per year

2017–2026

7

Variants

Permutation Randomization

Authors

115

  1. MA
    Michael A. Proschan

    National Institute of Allergy and Infectious Diseases, United States

    2 publications · 59 citations

    2

    h-index

  2. LS
    Luigi Salmaso

    University of Padua, Italy

    2 publications · 52 citations

    2

    h-index

  3. TM
    Thomas M. Loughin

    Kansas State University, United States

    2 publications · 66 citations

    2

    h-index

  4. DM
    David M. Murray

    University of Minnesota, United States

    2 publications · 152 citations

    2

    h-index

  5. WC
    W. C. Noble

    St Thomas' Hospital, United Kingdom

    2 publications · 66 citations

    2

    h-index

1–5 of 115

Venues

  1. Statistics in Medicine

    6 publications · 252 citations

    6

    h-index

  2. Technometrics

    3 publications · 123 citations

    3

    h-index

  3. Biometrics

    2 publications · 213 citations

    2

    h-index

  4. The American Statistician

    2 publications · 60 citations

    2

    h-index

  5. Journal of Statistical Computation and Simulation

    JSCS · 2 publications · 25 citations

    2

    h-index

1–5