Missing Completely At Random

Missing Completely At Random is a missingness mechanism in which the probability of missing data is independent of both observed and unobserved variables, implying that the missing values occur entirely at random with no systematic pattern.

145

Publications

28.4K

Citations

278

Authors

178

Institutions

Publications per year

2017–2026

35

Authors

278

  1. GM
    Geert Molenberghs

    Hasselt University, Belgium

    6 publications · 329 citations

    6

    h-index

  2. MG
    Michael G. Kenward

    London School of Hygiene & Tropical Medicine, United Kingdom

    6 publications · 453 citations

    6

    h-index

  3. QW
    Qihua Wang

    Academy of Mathematics and Systems Science, China

    4 publications · 186 citations

    4

    h-index

  4. BM
    Bart Michiels

    KU Leuven, Belgium

    3 publications · 100 citations

    3

    h-index

  5. ZS
    Zhihua Sun

    Shanghai University of Engineering Science, China

    3 publications · 149 citations

    3

    h-index

1–5 of 278

Venues

  1. Journal of the American Statistical Association

    9 publications · 9.4K citations

    9

    h-index

  2. Biometrika

    7 publications · 11.1K citations

    8

    h-index

  3. Statistics in Medicine

    6 publications · 155 citations

    6

    h-index

  4. Biometrics

    3 publications · 397 citations

    4

    h-index

  5. The American Statistician

    4 publications · 324 citations

    4

    h-index

1–5