Missing At Random

Missing At Random is a missing data mechanism in which the probability that data are missing depends only on the observed data and not on the unobserved data, given the observed values.

237

Publications

42.8K

Citations

534

Authors

311

Institutions

Publications per year

2017–2026

58

Authors

534

  1. DB
    Donald B. Rubin

    Harvard University, United States

    9 publications · 13.3K citations

    9

    h-index

  2. GM
    Geert Molenberghs

    Hasselt University, Belgium

    7 publications · 3.1K citations

    7

    h-index

  3. QW
    Qihua Wang

    Academy of Mathematics and Systems Science, China

    6 publications · 188 citations

    6

    h-index

  4. RJ
    Roderick J. A. Little

    University of Michigan, United States

    6 publications · 4.3K citations

    6

    h-index

  5. JM
    James M. Robins

    Harvard University, United States

    4 publications · 337 citations

    4

    h-index

1–5 of 534

Venues

  1. Statistics in Medicine

    13 publications · 702 citations

    13

    h-index

  2. Journal of the American Statistical Association

    15 publications · 1.2K citations

    12

    h-index

  3. Statistical Methods in Medical Research

    9 publications · 583 citations

    9

    h-index

  4. Biometrics

    8 publications · 770 citations

    8

    h-index

  5. Psychological Methods

    7 publications · 13.3K citations

    7

    h-index

1–5