Exposure Mixture Modeling

Exposure Mixture Modeling is a statistical modeling framework that characterizes the joint effects of multiple concurrent exposures on health outcomes by integrating dose-response relationships within a mixture context.

68

Publications

7K

Citations

320

Authors

189

Institutions

Publications per year

2017–2026

40

Authors

320

  1. RO
    Robert O. Wright

    Icahn School of Medicine at Mount Sinai, United States

    4 publications · 1.9K citations

    4

    h-index

  2. BA
    Brent A. Coull

    Harvard University, United States

    4 publications · 2.9K citations

    4

    h-index

  3. JP
    Jessie P. Buckley

    Johns Hopkins University, United States

    4 publications · 1.7K citations

    4

    h-index

  4. JF
    Jennifer F. Bobb

    Kaiser Permanente Washington Health Research Institute, United States

    4 publications · 2.9K citations

    4

    h-index

  5. CG
    Chris Gennings

    Icahn School of Medicine at Mount Sinai, United States

    4 publications · 198 citations

    4

    h-index

1–5 of 320

Venues

  1. Environmental Health

    6 publications · 1.3K citations

    6

    h-index

  2. Epidemiology

    6 publications · 335 citations

    6

    h-index

  3. Environmental Health Perspectives

    EHP · 3 publications · 1.7K citations

    4

    h-index

  4. Statistics in Medicine

    3 publications · 104 citations

    3

    h-index

  5. Environmental Research

    2 publications · 97 citations

    3

    h-index

1–5