Scaled Average Methodology

Scaled Average Methodology is a statistical approach in bioequivalence assessment that, as a member of the broader class of average bioequivalence methods, uniquely incorporates the within-subject variability of the reference product to scale the equivalence limits, thereby accommodating highly variable drugs or drug products.

15

Publications

560

Citations

47

Authors

24

Institutions

Publications per year

2017–2026

4

Authors

47

  1. LE
    László Endrényi

    University of Toronto, Canada

    5 publications · 158 citations

    5

    h-index

  2. LT
    László Tóthfalusi

    Semmelweis University, Hungary

    4 publications · 146 citations

    4

    h-index

  3. TA
    Toshi A. Furukawa

    Kyoto University, Japan

    1 publications · 29 citations

    1

    h-index

  4. KK
    Kwang‐il Kwon

    Chungnam National University, South Korea

    1 publications · 15 citations

    1

    h-index

  5. RH
    Rebecca Henderson

    Massachusetts Institute of Technology, United States

    1 publications · 224 citations

    1

    h-index

1–5 of 47

Venues

  1. Pharmaceutical Research

    3 publications · 115 citations

    3

    h-index

  2. Journal of Pharmacy & Pharmaceutical Sciences

    JPPS · 2 publications · 57 citations

    2

    h-index

  3. Pharmaceutical Statistics

    1 publications · 13 citations

    1

    h-index

  4. Journal of Paleolimnology

    1 publications · 17 citations

    1

    h-index

  5. The AAPS Journal

    AAPSJ · 1 publications · 25 citations

    1

    h-index

1–5