Monotone Missingness

Monotone Missingness is a pattern of missing data in which the variables can be ordered such that the occurrence of missingness in a given variable implies that all subsequent variables in the sequence are also missing, distinguishing it from other missingness patterns by its sequential and irreversible structure.

29

Publications

1.5K

Citations

64

Authors

51

Institutions

Publications per year

2017–2026

3

Variants

Monotone Missing Data Pattern

Authors

64

  1. GM
    Geert Molenberghs

    Hasselt University, Belgium

    3 publications · 204 citations

    3

    h-index

  2. DS
    Donald St. P. Richards

    University of Virginia, United States

    3 publications · 78 citations

    3

    h-index

  3. IJ
    Ivy Jansen

    Hasselt University, Belgium

    2 publications · 74 citations

    2

    h-index

  4. RD
    Richard D. Gill

    Joint European Torus, United Kingdom

    2 publications · 167 citations

    2

    h-index

  5. MG
    Michael G. Kenward

    London School of Hygiene & Tropical Medicine, United Kingdom

    2 publications · 194 citations

    2

    h-index

1–5 of 64

Venues

  1. Journal of Multivariate Analysis

    5 publications · 171 citations

    5

    h-index

  2. Statistics in Medicine

    3 publications · 201 citations

    3

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 2 publications · 318 citations

    2

    h-index

  4. Biostatistics

    2 publications · 31 citations

    2

    h-index

  5. Biometrics

    2 publications · 142 citations

    2

    h-index

1–5