Linear Exposure-response Modeling

Linear Exposure-Response Modeling is a statistical modeling approach that quantifies the linear relationship between the magnitude of exposure to a substance or intervention and the corresponding change in a health or biological response, assuming a constant rate of effect change across exposure levels.

29

Publications

2.1K

Citations

147

Authors

79

Institutions

Publications per year

2017–2026

13

Authors

147

  1. KS
    Kyle Steenland

    Emory University, United States

    3 publications · 126 citations

    3

    h-index

  2. YG
    Yuming Guo

    Monash University, Australia

    3 publications · 224 citations

    3

    h-index

  3. HK
    Haidong Kan

    Fudan University, China

    2 publications · 30 citations

    3

    h-index

  4. CA
    C. Arden Pope

    Brigham Young University, United States

    2 publications · 108 citations

    2

    h-index

  5. RC
    Renjie Chen

    Fudan University, China

    1 publications · 16 citations

    2

    h-index

1–5 of 147

Venues

  1. Environmental Health Perspectives

    EHP · 4 publications · 246 citations

    4

    h-index

  2. Environment International

    2 publications · 231 citations

    3

    h-index

  3. American Journal of Industrial Medicine

    2 publications · 186 citations

    2

    h-index

  4. Epidemiology

    2 publications · 60 citations

    2

    h-index

  5. Journal of Radiological Protection

    1 publications · 45 citations

    1

    h-index

1–5