Combined Error Models

Combined Error Models is a statistical modeling framework that integrates both additive and proportional error components to characterize residual unexplained variability in pharmacometric and quantitative systems pharmacology analyses.

35

Publications

1.7K

Citations

96

Authors

49

Institutions

Publications per year

2017–2026

11

Variants

Combined Residual Error Models

Authors

96

  1. LJ
    Laureline Josset

    Columbia University, United States

    2 publications · 57 citations

    2

    h-index

  2. IL
    Ivan Lunati

    University of Lausanne, Switzerland

    2 publications · 57 citations

    2

    h-index

  3. WZ
    Wei Zheng

    National University of Singapore, Singapore

    2 publications · 48 citations

    2

    h-index

  4. HH
    Houtse Hsu

    Institute of Geodesy and Geophysics, China

    2 publications · 48 citations

    2

    h-index

  5. MR
    Michael R. Dougherty

    University of Maryland, College Park, United States

    2 publications · 109 citations

    2

    h-index

1–5 of 96

Venues

  1. Journal of Experimental Psychology General

    2 publications · 109 citations

    2

    h-index

  2. Computers & Geosciences

    CAGEO · 1 publications · 22 citations

    1

    h-index

  3. CERN Document Server (European Organization for Nuclear Research)

    Repository · 1 publications · 305 citations

    1

    h-index

  4. Chinese Physics B

    1 publications · 31 citations

    1

    h-index

  5. Journal of Vision

    1 publications · 29 citations

    1

    h-index

1–5