Model Predictive Checks

Model Predictive Checks is a statistical validation technique used in population pharmacokinetic-pharmacodynamic modeling that assesses the adequacy of a proposed model by comparing observed data to the posterior predictive distribution of replicated data generated under the model.

72

Publications

4K

Citations

265

Authors

159

Institutions

Publications per year

2017–2026

24

Variants

Posterior Predictive Checks

Authors

265

  1. FA
    Faleh Alqahtani

    King Saud University, Saudi Arabia

    5 publications · 116 citations

    5

    h-index

  2. SK
    Sundus Khalid

    King Saud University, Saudi Arabia

    5 publications · 116 citations

    5

    h-index

  3. HS
    Hamid Saeed

    University of the Punjab, Pakistan

    5 publications · 116 citations

    5

    h-index

  4. MF
    Muhammad Fawad Rasool

    Bahauddin Zakariya University, Pakistan

    5 publications · 116 citations

    5

    h-index

  5. II
    Imran Imran

    Bahauddin Zakariya University, Pakistan

    5 publications · 116 citations

    5

    h-index

1–5 of 265

Venues

  1. Statistics in Medicine

    5 publications · 380 citations

    5

    h-index

  2. CPT Pharmacometrics & Systems Pharmacology

    PSP · 4 publications · 68 citations

    4

    h-index

  3. The Journal of Clinical Pharmacology

    3 publications · 78 citations

    3

    h-index

  4. British Journal of Clinical Pharmacology

    BJCP · 3 publications · 100 citations

    3

    h-index

  5. PLoS Computational Biology

    3 publications · 74 citations

    3

    h-index

1–5