Additive Interaction Modeling

Additive Interaction Modeling is a pharmacological modeling approach that quantifies drug interactions by assuming the combined effect of two or more drugs equals the sum of their individual effects, thereby distinguishing itself from synergistic or antagonistic models that predict non-additive outcomes.

199

Publications

10.5K

Citations

1K

Authors

478

Institutions

Publications per year

2017–2026

68

Authors

1K

  1. XY
    Xilin Yang

    Chinese University of Hong Kong, Hong Kong SAR China

    10 publications · 324 citations

    10

    h-index

  2. TJ
    Tyler J. VanderWeele

    Harvard University, United States

    6 publications · 406 citations

    6

    h-index

  3. RC
    Ronald C.W.

    Chinese University of Hong Kong, Hong Kong SAR China

    6 publications · 234 citations

    6

    h-index

  4. JC
    Juliana C.N. Chan

    Chinese University of Hong Kong, Hong Kong SAR China

    6 publications · 189 citations

    6

    h-index

  5. JV
    Jim van Os

    Maastricht University, Netherlands

    4 publications · 710 citations

    4

    h-index

1–5 of 1K

Venues

  1. American Journal of Epidemiology

    AJE · 9 publications · 984 citations

    9

    h-index

  2. PubMed

    Repository · 7 publications · 238 citations

    7

    h-index

  3. Scientific Reports

    6 publications · 160 citations

    6

    h-index

  4. Epidemiology

    4 publications · 273 citations

    4

    h-index

  5. Biometrics

    4 publications · 155 citations

    4

    h-index

1–5