Continuous Covariate Effects

Continuous Covariate Effects is a pharmacokinetic modeling construct that characterizes the influence of continuously measurable patient-specific factors—such as age, weight, or renal function—on interindividual variability in drug exposure by quantitatively relating these variables to pharmacokinetic parameters within a population model.

233

Publications

15.8K

Citations

700

Authors

341

Institutions

Publications per year

2017–2026

45

Authors

700

  1. PR
    Patrick Royston

    MRC Clinical Trials Unit at UCL, United Kingdom

    10 publications · 850 citations

    10

    h-index

  2. WS
    Willi Sauerbrei

    University of Freiburg, Germany

    9 publications · 651 citations

    9

    h-index

  3. TK
    Thomas Kneib

    University of Göttingen, Germany

    5 publications · 232 citations

    5

    h-index

  4. LP
    Limin Peng

    Emory University, United States

    4 publications · 129 citations

    4

    h-index

  5. MS
    Margaret S. Pepe

    Fred Hutch Cancer Center, United States

    3 publications · 383 citations

    3

    h-index

1–5 of 700

Venues

  1. Statistics in Medicine

    33 publications · 2.6K citations

    24

    h-index

  2. Biometrics

    21 publications · 1.3K citations

    19

    h-index

  3. Journal of the American Statistical Association

    17 publications · 1.2K citations

    14

    h-index

  4. 9

    h-index

  5. Statistical Methods in Medical Research

    6 publications · 197 citations

    6

    h-index

1–5