Rubin's Rules

Rubin's Rules is a statistical framework for multiple imputation that specifies the method for combining parameter estimates and their variances across imputed datasets to produce valid inferential results in the analysis of incomplete data.

74

Publications

36.1K

Citations

195

Authors

139

Institutions

Publications per year

2017–2026

20

Variants

Rubin's Combination Rules

Authors

195

  1. PR
    Patrick Royston

    MRC Clinical Trials Unit at UCL, United Kingdom

    7 publications · 21K citations

    7

    h-index

  2. IR
    Ian R. White

    MRC Biostatistics Unit, United Kingdom

    6 publications · 17.8K citations

    6

    h-index

  3. JR
    James R. Carpenter

    London School of Hygiene & Tropical Medicine, United Kingdom

    4 publications · 7.5K citations

    4

    h-index

  4. JB
    John B. Carlin

    The University of Melbourne, Australia

    3 publications · 7.6K citations

    3

    h-index

  5. SR
    Shaun R. Seaman

    MRC Biostatistics Unit, United Kingdom

    3 publications · 355 citations

    3

    h-index

1–5 of 195

Venues

  1. Statistics in Medicine

    4 publications · 10.2K citations

    4

    h-index

  2. 4

    h-index

  3. BMC Medical Research Methodology

    3 publications · 1K citations

    3

    h-index

  4. 3

    h-index

  5. Behavior Research Methods

    BRM · 2 publications · 53 citations

    2

    h-index

1–5