Study Design Optimization

Study Design Optimization is a methodological framework in population toxicokinetics that specifies the systematic refinement of experimental and observational study parameters to maximize statistical power, minimize bias, and enhance the precision of exposure-response inferences while accounting for inter-individual variability and study constraints.

72

Publications

3.7K

Citations

272

Authors

165

Institutions

Publications per year

2017–2026

24

Authors

272

  1. FM
    France Mentré

    Inserm, France

    2 publications · 341 citations

    2

    h-index

  2. JB
    John Bryant

    University of Pittsburgh, United States

    1 publications · 261 citations

    1

    h-index

  3. KK
    Kristin Karlsson

    Medical Products Agency, Sweden

    1 publications · 68 citations

    1

    h-index

  4. VG
    Vahid Ghasemzadeh‐Mohammadi

    National Nutrition and Food Technology Research Institute, Iran

    1 publications · 32 citations

    1

    h-index

  5. BA
    Ben Armstrong

    London School of Hygiene & Tropical Medicine, United Kingdom

    1 publications · 34 citations

    1

    h-index

1–5 of 272

Venues

  1. Biometrics

    4 publications · 407 citations

    4

    h-index

  2. Fuel

    2 publications · 66 citations

    2

    h-index

  3. Archives of Toxicology

    2 publications · 77 citations

    2

    h-index

  4. Statistical Methods in Medical Research

    2 publications · 28 citations

    2

    h-index

  5. Biometrika

    2 publications · 298 citations

    2

    h-index

1–5