Physiologically Based Bayesian Modeling

Physiologically Based Bayesian Modeling is a computational modeling framework that integrates physiologically based pharmacokinetic principles with Bayesian statistical inference to estimate population-level pharmacokinetic parameters while accounting for physiological mechanistic constraints and inter-individual variability.

38

Publications

1.6K

Citations

135

Authors

85

Institutions

Publications per year

2017–2026

6

Authors

135

  1. FY
    Frédéric Y. Bois

    Institut national de l'environnement industriel et des risques, France

    7 publications · 361 citations

    7

    h-index

  2. LA
    Leon Aarons

    University of Manchester, United Kingdom

    4 publications · 109 citations

    4

    h-index

  3. FJ
    Fredrik Jönsson

    KTH Royal Institute of Technology, Sweden

    3 publications · 110 citations

    3

    h-index

  4. KP
    Kaija Pekari

    Finnish Institute of Occupational Health, Finland

    3 publications · 139 citations

    3

    h-index

  5. GJ
    Gunnar Johanson

    Karolinska Institutet, Sweden

    3 publications · 110 citations

    3

    h-index

1–5 of 135

Venues

  1. Environmental Health Perspectives

    EHP · 4 publications · 274 citations

    4

    h-index

  2. Toxicology and Applied Pharmacology

    TAAP · 3 publications · 157 citations

    3

    h-index

  3. 3

    h-index

  4. Toxicology

    2 publications · 77 citations

    2

    h-index

  5. PLoS ONE

    2 publications · 68 citations

    2

    h-index

1–5