Fraction Of Missing Information

Fraction of Missing Information is a statistical metric that quantifies the proportion of total variance in a parameter estimate attributable to missing data, distinguishing it from other measures of missingness by specifically reflecting the efficiency loss due to incomplete observations in the context of multiple imputation or likelihood-based inference.

35

Publications

4.6K

Citations

83

Authors

48

Institutions

Publications per year

2017–2026

6

Variants

Fmi

Authors

83

  1. JN
    J. N. K. Rao

    Carleton University, Canada

    4 publications · 312 citations

    4

    h-index

  2. DB
    Donald B. Rubin

    Harvard University, United States

    3 publications · 1.1K citations

    3

    h-index

  3. TB
    Todd Bodner

    Portland State University, United States

    2 publications · 634 citations

    2

    h-index

  4. JP
    Jerome P. Reiter

    Duke University, United States

    2 publications · 397 citations

    2

    h-index

  5. MV
    M.A. van den Bosch

    University Medical Center Utrecht, Netherlands

    1 publications · 39 citations

    1

    h-index

1–5 of 83

Venues

  1. Biometrika

    4 publications · 1.1K citations

    4

    h-index

  2. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 3 publications · 731 citations

    3

    h-index

  3. 2

    h-index

  4. Psychometrika

    2 publications · 53 citations

    2

    h-index

  5. 2

    h-index

1–5