Residual Variability Modeling

Residual Variability Modeling is the statistical framework within Bayesian population pharmacokinetics that accounts for unexplained intra- and inter-individual variability in observed drug concentration data after incorporating fixed and random effects.

58

Publications

4.5K

Citations

236

Authors

118

Institutions

Publications per year

2017–2026

9

Authors

236

  1. AD
    Alwin D. R. Huitema

    The Netherlands Cancer Institute, Netherlands

    3 publications · 160 citations

    3

    h-index

  2. PL
    Pieter L. Meenhorst

    Slotervaartziekenhuis, Netherlands

    2 publications · 135 citations

    2

    h-index

  3. JL
    Jacques Lévy Véhel

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 29 citations

    2

    h-index

  4. JH
    Jos H. Beijnen

    The Netherlands Cancer Institute, Netherlands

    2 publications · 135 citations

    2

    h-index

  5. JW
    Jan W. Mulder

    Slotervaartziekenhuis, Netherlands

    2 publications · 135 citations

    2

    h-index

1–5 of 236

Venues

  1. The Journal of Clinical Pharmacology

    5 publications · 319 citations

    5

    h-index

  2. 4

    h-index

  3. British Journal of Clinical Pharmacology

    BJCP · 3 publications · 160 citations

    3

    h-index

  4. Clinical Pharmacology & Therapeutics

    CPT · 2 publications · 55 citations

    2

    h-index

  5. Antimicrobial Agents and Chemotherapy

    AAC · 2 publications · 135 citations

    2

    h-index

1–5