Exact Logistic Regression

Exact Logistic Regression is a statistical modeling method that belongs to the class of logistic regression techniques, distinguished by its use of exact conditional inference to estimate parameters and compute p-values without relying on asymptotic approximations, particularly suitable for small sample sizes or sparse categorical data.

91

Publications

5.8K

Citations

538

Authors

215

Institutions

Publications per year

2017–2026

18

Authors

538

  1. DL
    David L. Pearl

    University of Guelph, Canada

    4 publications · 87 citations

    4

    h-index

  2. CR
    Cyrus R. Mehta

    Cytel (United States), United States

    3 publications · 840 citations

    3

    h-index

  3. NR
    Nitin R. Patel

    Cytel (United States), United States

    3 publications · 840 citations

    3

    h-index

  4. CM
    Charles M. Cleland

    New York University, United States

    2 publications · 79 citations

    2

    h-index

  5. JS
    J. Scott Weese

    University of Guelph, Canada

    2 publications · 88 citations

    2

    h-index

1–5 of 538

Venues

  1. PubMed

    Repository · 4 publications · 90 citations

    4

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  2. 4

    h-index

  3. Journal of Veterinary Internal Medicine

    JVIM · 3 publications · 97 citations

    3

    h-index

  4. Sexually Transmitted Diseases

    3 publications · 287 citations

    3

    h-index

  5. Pharmacoepidemiology and Drug Safety

    2 publications · 61 citations

    2

    h-index

1–5