Identification Under Missingness

Identification Under Missingness is a theoretical framework in causal analysis that specifies conditions under which causal effects can be uniquely determined despite incomplete data, distinguishing itself from general identifiability theories by explicitly accounting for the structure and mechanism of missingness.

57

Publications

3.1K

Citations

99

Authors

66

Institutions

Publications per year

2017–2026

11

Authors

99

  1. WM
    Wang Miao

    Peking University, China

    4 publications · 134 citations

    4

    h-index

  2. ET
    Eric Tchetgen Tchetgen

    Harvard University, United States

    3 publications · 52 citations

    3

    h-index

  3. FM
    Franklin M. Fisher

    Massachusetts Institute of Technology, United States

    3 publications · 593 citations

    3

    h-index

  4. JM
    James M. Robins

    Harvard University, United States

    2 publications · 21 citations

    2

    h-index

  5. EP
    Erik Plug

    University of Amsterdam, Netherlands

    2 publications · 568 citations

    2

    h-index

1–5 of 99

Venues

  1. Computational Statistics & Data Analysis

    CSDA · 4 publications · 98 citations

    4

    h-index

  2. Biometrics

    4 publications · 90 citations

    4

    h-index

  3. Econometrica

    2 publications · 29 citations

    2

    h-index

  4. 2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 27 citations

    2

    h-index

1–5