Dummy Variable Encoding

Dummy Variable Encoding is a categorical encoding technique that transforms a categorical variable into a set of binary variables, each representing the presence or absence of a single category, with one category omitted to serve as a reference level to avoid multicollinearity.

5

Publications

206

Citations

10

Authors

5

Institutions

Publications per year

2017–2026

2

Authors

10

  1. LM
    Linda M. Collins

    Pennsylvania State University, United States

    1 publications · 36 citations

    1

    h-index

  2. SH
    Stephane Hess

    University of Leeds, United Kingdom

    1 publications · 132 citations

    1

    h-index

  3. AD
    Andrew Daly

    University of Leeds, United Kingdom

    1 publications · 132 citations

    1

    h-index

  4. TD
    Thijs Dekker

    University of Leeds, United Kingdom

    1 publications · 132 citations

    1

    h-index

  5. KC
    Kari C. Kugler

    Pennsylvania State University, United States

    1 publications · 36 citations

    1

    h-index

1–5 of 10

Venues

  1. Journal of Choice Modelling

    JOCM · 1 publications · 132 citations

    1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 10 citations

    1

    h-index

  3. Annals of Human Genetics

    1 publications · 13 citations

    1

    h-index

1–3