Exposure-outcome Modeling

Exposure-Outcome Modeling is a statistical and computational framework that characterizes the quantitative relationship between the level or duration of exposure to an agent and the magnitude or probability of a specific biological or health outcome, distinguishing it from general risk assessment methods by focusing on dose-dependent response patterns and causal inference.

401

Publications

35K

Citations

1.3K

Authors

614

Institutions

Publications per year

2017–2026

91

Variants

Exposure-response Relationship Modeling

Authors

1.3K

  1. SV
    Stijn Vansteelandt

    Ghent University, Belgium

    10 publications · 773 citations

    10

    h-index

  2. TJ
    Tyler J. VanderWeele

    Harvard University, United States

    7 publications · 1.5K citations

    7

    h-index

  3. SR
    Stephen R. Cole

    University of North Carolina at Chapel Hill, United States

    7 publications · 364 citations

    7

    h-index

  4. AS
    Arvid Sjölander

    Karolinska Institutet, Sweden

    7 publications · 295 citations

    7

    h-index

  5. GD
    George Davey Smith

    University of Bristol, United Kingdom

    7 publications · 1.4K citations

    7

    h-index

1–5 of 1.3K

Venues

  1. American Journal of Epidemiology

    AJE · 36 publications · 6.9K citations

    28

    h-index

  2. Epidemiology

    29 publications · 2.6K citations

    25

    h-index

  3. Statistics in Medicine

    40 publications · 1.7K citations

    23

    h-index

  4. Biometrics

    26 publications · 1.9K citations

    19

    h-index

  5. International Journal of Epidemiology

    13 publications · 3.5K citations

    12

    h-index

1–5