Continuous Exposure Modeling

Continuous Exposure Modeling is a statistical methodology in dose-response meta-analysis that characterizes the relationship between a continuously varying exposure variable and an outcome of interest, distinguishing itself from categorical or threshold-based approaches by preserving the continuous nature of the exposure to enable more precise estimation of dose-dependent effects.

65

Publications

5.4K

Citations

274

Authors

148

Institutions

Publications per year

2017–2026

17

Variants

Continuous Dose-response Modeling

Authors

274

  1. JM
    Jonathan Mougenot

    Centre National de la Recherche Scientifique, France

    1 publications · 17 citations

    2

    h-index

  2. FN
    Fredrik Nyberg

    Karolinska Institutet, Sweden

    2 publications · 433 citations

    2

    h-index

  3. TB
    Tom Bellander

    Karolinska Institutet, Sweden

    2 publications · 433 citations

    2

    h-index

  4. GP
    Göran Pershagen

    Karolinska Institutet, Sweden

    2 publications · 433 citations

    2

    h-index

  5. PG
    Per Gustavsson

    Karolinska Institutet, Sweden

    2 publications · 433 citations

    2

    h-index

1–5 of 274

Venues

  1. Biometrics

    5 publications · 271 citations

    5

    h-index

  2. Epidemiology

    5 publications · 653 citations

    5

    h-index

  3. PubMed

    Repository · 3 publications · 110 citations

    3

    h-index

  4. American Journal of Epidemiology

    AJE · 3 publications · 84 citations

    3

    h-index

  5. Nuclear Fusion

    1 publications · 17 citations

    2

    h-index

1–5