Generalized Poisson Regression

Generalized Poisson Regression is a count data model that extends the standard Poisson regression by incorporating an additional dispersion parameter to accommodate overdispersion or underdispersion in count outcomes.

1K

Publications

69.2K

Citations

5.6K

Authors

1.8K

Institutions

Publications per year

2017–2026

465

Authors

5.6K

  1. JL
    Jens Lundgren

    University of Copenhagen, Denmark

    16 publications · 361 citations

    12

    h-index

  2. AM
    Amanda Mocroft

    University College London, United Kingdom

    12 publications · 247 citations

    11

    h-index

  3. FF
    Felix Famoye

    Central Michigan University, United States

    9 publications · 1.3K citations

    9

    h-index

  4. AP
    Andrew Phillips

    University College London, United Kingdom

    9 publications · 222 citations

    9

    h-index

  5. AL
    Alfésio Luı́s Ferreira Braga

    Universidade de São Paulo, Brazil

    9 publications · 1.6K citations

    9

    h-index

1–5 of 5.6K

Venues

  1. PLoS ONE

    51 publications · 2.4K citations

    28

    h-index

  2. 17

    h-index

  3. 16

    h-index

  4. PubMed

    Repository · 15 publications · 383 citations

    14

    h-index

  5. BMC Public Health

    15 publications · 791 citations

    13

    h-index

1–5