Conditional Fixed-effects Logistic Regression

Conditional Fixed-Effects Logistic Regression is a statistical modeling technique within the class of logistic regression methods that controls for unobserved time-invariant heterogeneity by conditioning on the number of successes within each group, thereby eliminating the influence of fixed effects through a conditional likelihood approach.

60

Publications

3.9K

Citations

278

Authors

198

Institutions

Publications per year

2017–2026

21

Variants

Conditional Logit Model

Authors

278

  1. JP
    Jaana Pentti

    Finnish Institute of Occupational Health, Finland

    3 publications · 154 citations

    3

    h-index

  2. JV
    Jussi Vahtera

    Finnish Institute of Occupational Health, Finland

    3 publications · 154 citations

    3

    h-index

  3. HK
    Hans‐Helmut König

    Universität Hamburg, Germany

    3 publications · 208 citations

    3

    h-index

  4. AH
    André Hajek

    Universität Hamburg, Germany

    3 publications · 208 citations

    3

    h-index

  5. MK
    Mika Kivimäki

    University College London, United Kingdom

    2 publications · 111 citations

    2

    h-index

1–5 of 278

Venues

  1. JNCI Journal of the National Cancer Institute

    2 publications · 63 citations

    2

    h-index

  2. Journal of the American Veterinary Medical Association

    JAVMA · 2 publications · 179 citations

    2

    h-index

  3. 2

    h-index

  4. 2

    h-index

  5. PLoS ONE

    2 publications · 197 citations

    2

    h-index

1–5