Logistic Regression

Logistic Regression is a statistical classification model within the family of generalized linear models that employs a logistic function to model the probability of a binary outcome variable, distinguishing it by estimating the relationship between one or more independent variables and the log-odds of the outcome in the context of supervised learning and predictive modeling.

95.9K

Publications

5.1M

Citations

370.7K

Authors

25.4K

Institutions

Publications per year

2017–2026

40.2K

Authors

370.7K

  1. CL
    Carlo La Vecchia

    Mario Negri Institute for Pharmacological Research, Italy

    111 publications · 6.3K citations

    49

    h-index

  2. EW
    Ewout W. Steyerberg

    Erasmus MC, Netherlands

    79 publications · 13.1K citations

    47

    h-index

  3. SA
    Steffanie A. Strathdee

    University of California San Diego, United States

    66 publications · 4K citations

    39

    h-index

  4. EN
    Eva Negri

    Mario Negri Institute for Pharmacological Research, Italy

    62 publications · 3.6K citations

    35

    h-index

  5. AK
    Ai Koyanagi

    Parc Sanitari Sant Joan de Déu, Spain

    65 publications · 3.6K citations

    35

    h-index

1–5 of 370.7K

Venues

  1. PLoS ONE

    3K publications · 143.6K citations

    135

    h-index

  2. American Journal of Public Health

    JPH · 509 publications · 59K citations

    133

    h-index

  3. PEDIATRICS

    485 publications · 53.9K citations

    129

    h-index

  4. PubMed

    Repository · 3.3K publications · 127.6K citations

    123

    h-index

  5. American Journal of Epidemiology

    AJE · 458 publications · 48.4K citations

    120

    h-index

1–5