Missing At Random Mechanisms

Missing At Random Mechanisms is a probabilistic missingness mechanism in which the likelihood of missing data depends only on observed variables and not on unobserved data, distinguishing it from missing completely at random and missing not at random mechanisms by allowing systematic missingness conditional on available information.

70

Publications

4.4K

Citations

184

Authors

138

Institutions

Publications per year

2017–2026

28

Authors

184

  1. GM
    Geert Molenberghs

    Hasselt University, Belgium

    5 publications · 388 citations

    5

    h-index

  2. IR
    Ian R. White

    MRC Biostatistics Unit, United Kingdom

    4 publications · 490 citations

    4

    h-index

  3. JR
    James R. Carpenter

    London School of Hygiene & Tropical Medicine, United Kingdom

    4 publications · 180 citations

    4

    h-index

  4. EJ
    Eric J. Tchetgen Tchetgen

    Harvard University, United States

    3 publications · 380 citations

    3

    h-index

  5. KJ
    Katherine J. Lee

    Murdoch Children's Research Institute, Australia

    3 publications · 458 citations

    3

    h-index

1–5 of 184

Venues

  1. Biometrics

    5 publications · 266 citations

    5

    h-index

  2. 5

    h-index

  3. BMC Medical Research Methodology

    5 publications · 254 citations

    5

    h-index

  4. American Journal of Epidemiology

    AJE · 4 publications · 458 citations

    4

    h-index

  5. Biostatistics

    4 publications · 207 citations

    4

    h-index

1–5