Missingness Mechanisms

Missingness Mechanisms is a theoretical framework that categorizes the underlying processes governing the absence of data points in a dataset according to the nature of their dependency on observed and unobserved variables.

735

Publications

96.1K

Citations

1.7K

Authors

833

Institutions

Publications per year

2017–2026

222

Variants

Missing Data Mechanisms

Authors

1.7K

  1. MG
    Michael G. Kenward

    London School of Hygiene & Tropical Medicine, United Kingdom

    17 publications · 1.3K citations

    16

    h-index

  2. GM
    Geert Molenberghs

    Hasselt University, Belgium

    21 publications · 1.3K citations

    16

    h-index

  3. DB
    Donald B. Rubin

    Harvard University, United States

    15 publications · 34.1K citations

    13

    h-index

  4. RJ
    Roderick J. A. Little

    University of Michigan, United States

    14 publications · 23.8K citations

    13

    h-index

  5. JG
    Joseph G. Ibrahim

    University of North Carolina at Chapel Hill, United States

    11 publications · 905 citations

    11

    h-index

1–5 of 1.7K

Venues

  1. Journal of the American Statistical Association

    34 publications · 20K citations

    24

    h-index

  2. Statistics in Medicine

    50 publications · 3K citations

    24

    h-index

  3. Biometrics

    30 publications · 3.2K citations

    22

    h-index

  4. Biometrika

    20 publications · 11.9K citations

    15

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 15 publications · 347 citations

    13

    h-index

1–5