Spline-based Dose-response Modeling

Spline-Based Dose-Response Modeling is a statistical modeling approach that uses piecewise polynomial functions, or splines, to flexibly characterize non-linear relationships between exposure dose and health outcome over time within longitudinal studies.

26

Publications

3.2K

Citations

148

Authors

111

Institutions

Publications per year

2017–2026

4

Authors

148

  1. NO
    Nicola Orsini

    Karolinska Institutet, Sweden

    3 publications · 605 citations

    3

    h-index

  2. AM
    Alessandra Mattei

    University of Florence, Italy

    2 publications · 75 citations

    2

    h-index

  3. LR
    Louise Ryan

    Harvard University, United States

    2 publications · 259 citations

    2

    h-index

  4. CL
    Carlo La Vecchia

    Mario Negri Institute for Pharmacological Research, Italy

    2 publications · 89 citations

    2

    h-index

  5. AC
    Alessio Crippa

    Karolinska Institutet, Sweden

    2 publications · 551 citations

    2

    h-index

1–5 of 148

Venues

  1. Statistics in Medicine

    3 publications · 73 citations

    3

    h-index

  2. Epidemiology

    2 publications · 1.1K citations

    2

    h-index

  3. 2

    h-index

  4. Environmental Health Perspectives

    EHP · 2 publications · 268 citations

    2

    h-index

  5. 1

    h-index

1–5