Sampling Schedule Optimization

Sampling Schedule Optimization is a methodological framework within pharmacokinetic study design that systematically determines the most informative time points for biological sample collection to maximize the precision and accuracy of parameter estimation while minimizing resource utilization and patient burden.

70

Publications

2.6K

Citations

230

Authors

150

Institutions

Publications per year

2017–2026

11

Authors

230

  1. CC
    Claudio Cobelli

    University of Padua, Italy

    4 publications · 106 citations

    4

    h-index

  2. AR
    Alfredo Ruggeri

    University of Padua, Italy

    4 publications · 106 citations

    4

    h-index

  3. JJ
    Joseph J. DiStefano

    University of California, Los Angeles, United States

    4 publications · 162 citations

    4

    h-index

  4. LA
    Leon Aarons

    University of Manchester, United Kingdom

    3 publications · 61 citations

    3

    h-index

  5. XL
    Xianjin Li

    The University of Sydney, Australia

    3 publications · 92 citations

    3

    h-index

1–5 of 230

Venues

  1. Magnetic Resonance in Medicine

    MRM · 4 publications · 190 citations

    4

    h-index

  2. 3

    h-index

  3. Computer Methods and Programs in Biomedicine

    3 publications · 85 citations

    3

    h-index

  4. The Journal of Clinical Pharmacology

    3 publications · 63 citations

    3

    h-index

  5. Cancer Chemotherapy and Pharmacology

    3 publications · 64 citations

    3

    h-index

1–5