Binomial Regression

Binomial Regression is a type of Generalized Linear Model in which the response variable follows a binomial distribution and the relationship between the linear predictor and the probability of success is modeled through a link function, typically the logit or probit, to analyze binary or count proportion data.

3.3K

Publications

192.9K

Citations

13.6K

Authors

3.7K

Institutions

Publications per year

2017–2026

1.2K

Variants

Binomial Generalized Linear Model

Authors

13.6K

  1. WC
    William C. Miller

    University of North Carolina at Chapel Hill, United States

    10 publications · 246 citations

    9

    h-index

  2. JW
    Jan Wohlfahrt

    Statens Serum Institut, Denmark

    8 publications · 455 citations

    8

    h-index

  3. KA
    Kingsley Agho

    Western Sydney University, Australia

    8 publications · 517 citations

    8

    h-index

  4. MM
    Mads Melbye

    Statens Serum Institut, Denmark

    8 publications · 455 citations

    8

    h-index

  5. DS
    Donna Spiegelman

    Harvard University, United States

    7 publications · 819 citations

    7

    h-index

1–5 of 13.6K

Venues

  1. PLoS ONE

    103 publications · 5.1K citations

    39

    h-index

  2. Biometrics

    44 publications · 5.4K citations

    31

    h-index

  3. BMC Public Health

    54 publications · 2.3K citations

    27

    h-index

  4. PubMed

    Repository · 59 publications · 2K citations

    26

    h-index

  5. Journal of the American Statistical Association

    37 publications · 2.7K citations

    24

    h-index

1–5