Missingness Indicators

Missingness Indicators is a statistical construct that denotes a binary variable indicating whether a particular data point is observed or missing, distinguishing it from other data representation methods by explicitly encoding the presence or absence of data values for use in causal inference models.

59

Publications

3.7K

Citations

226

Authors

141

Institutions

Publications per year

2017–2026

31

Variants

Missingness Indicator

Authors

226

  1. IR
    Ian R. White

    MRC Biostatistics Unit, United Kingdom

    3 publications · 674 citations

    3

    h-index

  2. ML
    Marine Le Morvan

    École Polytechnique, France

    2 publications · 31 citations

    2

    h-index

  3. GP
    Glen P. Martin

    University of Manchester, United Kingdom

    2 publications · 113 citations

    2

    h-index

  4. JR
    James R. Carpenter

    London School of Hygiene & Tropical Medicine, United Kingdom

    2 publications · 582 citations

    2

    h-index

  5. JJ
    Julie Josse

    École Polytechnique, France

    2 publications · 31 citations

    2

    h-index

1–5 of 226

Venues

  1. Statistics in Medicine

    5 publications · 126 citations

    5

    h-index

  2. Journal of Clinical Epidemiology

    3 publications · 724 citations

    3

    h-index

  3. Biometrika

    3 publications · 107 citations

    3

    h-index

  4. Expert Systems with Applications

    2 publications · 109 citations

    2

    h-index

  5. PLoS ONE

    2 publications · 484 citations

    2

    h-index

1–5