Logistic Regression Scoring

Logistic Regression Scoring is a risk scoring method that employs logistic regression to estimate the probability of a binary outcome by modeling the log-odds of the event as a linear combination of predictor variables.

336

Publications

21.7K

Citations

2.1K

Authors

906

Institutions

Publications per year

2017–2026

128

Authors

2.1K

  1. JC
    Javier Courel‐Ibáñez

    Universidad de Murcia, Spain

    3 publications · 102 citations

    3

    h-index

  2. NM
    Neil McHugh

    Royal National Hospital for Rheumatic Diseases, United Kingdom

    3 publications · 208 citations

    3

    h-index

  3. GS
    Gilad Segev

    Hebrew University of Jerusalem, Israel

    2 publications · 57 citations

    2

    h-index

  4. AT
    Ammarin Thakkinstian

    Ramathibodi Hospital, Thailand

    2 publications · 91 citations

    2

    h-index

  5. YA
    Yasmeen Ahmad

    University of Manchester, United Kingdom

    2 publications · 181 citations

    2

    h-index

1–5 of 2.1K

Venues

  1. PubMed

    Repository · 24 publications · 1.6K citations

    16

    h-index

  2. PLoS ONE

    8 publications · 330 citations

    8

    h-index

  3. 4

    h-index

  4. Bioinformatics

    4 publications · 103 citations

    4

    h-index

  5. Annals of Surgery

    3 publications · 682 citations

    3

    h-index

1–5