Mixed-effects Dose-response Models

Mixed-Effects Dose-Response Models is a statistical modeling framework that belongs to the class of dose-response models by characterizing the relationship between dose levels and response outcomes, distinguished by its incorporation of both fixed effects to capture population-level trends and random effects to account for within-subject correlations and inter-individual variability in longitudinal data.

21

Publications

2.4K

Citations

66

Authors

39

Institutions

Publications per year

2017–2026

3

Authors

66

  1. NO
    Nicola Orsini

    Karolinska Institutet, Sweden

    4 publications · 1.7K citations

    4

    h-index

  2. AC
    Alessio Crippa

    Karolinska Institutet, Sweden

    2 publications · 391 citations

    2

    h-index

  3. AD
    Andrea Discacciati

    Karolinska Institutet, Sweden

    2 publications · 391 citations

    2

    h-index

  4. EL
    Elodie L. Plan

    Uppsala University, Sweden

    1 publications · 65 citations

    1

    h-index

  5. MD
    Mike D Tokach

    Kansas State University, United States

    1 publications · 44 citations

    1

    h-index

1–5 of 66

Venues

  1. 3

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  2. 1

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  3. The AAPS Journal

    AAPSJ · 1 publications · 65 citations

    1

    h-index

  4. Annals of Epidemiology

    1 publications · 47 citations

    1

    h-index

  5. Pharmacogenomics

    1 publications · 80 citations

    1

    h-index

1–5