Binary Outcome Exposure-response Models

Binary Outcome Exposure-Response Models is a statistical modeling framework that characterizes the relationship between the magnitude of exposure to a given agent and the probability of a dichotomous health outcome, distinguished by its focus on binary response variables in contrast to continuous or multicategory outcomes.

25

Publications

3K

Citations

77

Authors

49

Institutions

Publications per year

2017–2026

6

Authors

77

  1. GD
    Gita D. Mishra

    The University of Queensland, Australia

    2 publications · 290 citations

    2

    h-index

  2. CE
    Christine E. Grella

    University of California, Los Angeles, United States

    1 publications · 98 citations

    1

    h-index

  3. MS
    Mark S. Gilthorpe

    University of Leeds, United Kingdom

    1 publications · 67 citations

    1

    h-index

  4. ME
    Mireille E. Schnitzer

    Université de Montréal, Canada

    1 publications · 134 citations

    1

    h-index

  5. AS
    Andrew Smith

    University of Bristol, United Kingdom

    1 publications · 67 citations

    1

    h-index

1–5 of 77

Venues

  1. Statistics in Medicine

    6 publications · 385 citations

    6

    h-index

  2. Biometrics

    4 publications · 426 citations

    4

    h-index

  3. Epidemiology

    4 publications · 345 citations

    4

    h-index

  4. American Journal of Epidemiology

    AJE · 2 publications · 118 citations

    2

    h-index

  5. Applied Developmental Science

    ADS · 1 publications · 67 citations

    1

    h-index

1–5