Intermittent Missingness

Intermittent Missingness is a pattern of missing data in which values are sporadically absent throughout a sequence or time series, such that the missingness occurs non-monotonically and is not confined to the initial or terminal segments of the data.

9

Publications

356

Citations

29

Authors

26

Institutions

Publications per year

2017–2026

0

Variants

Non-monotonic Missingness

Authors

29

  1. PS
    Paul S. Albert

    National Cancer Institute, United States

    1 publications · 21 citations

    1

    h-index

  2. YC
    Yi‐Hau Chen

    Institute of Statistical Science, Academia Sinica, Taiwan

    1 publications · 32 citations

    1

    h-index

  3. CG
    Christophe Genolini

    Inserm, France

    1 publications · 106 citations

    1

    h-index

  4. GV
    Geert Verbeke

    KU Leuven, Belgium

    1 publications · 15 citations

    1

    h-index

  5. MJ
    Michael J. Daniels

    University of Florida, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 29

Venues

  1. Open Journal of Statistics

    OJS · 1 publications · 106 citations

    1

    h-index

  2. Statistics in Medicine

    1 publications · 35 citations

    1

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 1 publications · 26 citations

    1

    h-index

  4. Health and Quality of Life Outcomes

    HQLO · 1 publications · 79 citations

    1

    h-index

  5. Statistical Methods in Medical Research

    1 publications · 21 citations

    1

    h-index

1–5