Conditional Independence Violation

Conditional Independence Violation is a methodological anomaly in statistical modeling wherein the assumption that two variables are independent given a set of covariates fails to hold, indicating the presence of unaccounted dependencies that invalidate the model's inferential assumptions.

52

Publications

3.7K

Citations

98

Authors

55

Institutions

Publications per year

2017–2026

5

Authors

98

  1. BV
    Barbara Vantaggi

    Sapienza University of Rome, Italy

    3 publications · 86 citations

    3

    h-index

  2. IB
    Issam Bazzi

    Massachusetts Institute of Technology, United States

    2 publications · 241 citations

    2

    h-index

  3. SE
    Scott E. Maxwell

    University of Notre Dame, United States

    2 publications · 81 citations

    2

    h-index

  4. TC
    Tim Curran

    University of Colorado Boulder, United States

    2 publications · 362 citations

    2

    h-index

  5. AF
    Antonio Forcina

    University of Perugia, Italy

    2 publications · 30 citations

    2

    h-index

1–5 of 98

Venues

  1. 4

    h-index

  2. Psychometrika

    3 publications · 156 citations

    3

    h-index

  3. Journal of Multivariate Analysis

    3 publications · 41 citations

    3

    h-index

  4. 2

    h-index

  5. The American Statistician

    2 publications · 141 citations

    2

    h-index

1–5