Missing Data Prevention

Missing Data Prevention is a methodological strategy within clinical data management that systematically mitigates the occurrence of incomplete or omitted data entries in Case Report Forms through proactive design, validation, and procedural controls.

91

Publications

10.4K

Citations

304

Authors

193

Institutions

Publications per year

2017–2026

24

Authors

304

  1. PM
    Paola Mosconi

    Mario Negri Institute for Pharmacological Research, Italy

    3 publications · 393 citations

    3

    h-index

  2. IR
    Ian R. White

    MRC Biostatistics Unit, United Kingdom

    3 publications · 889 citations

    3

    h-index

  3. GM
    Geert Molenberghs

    Hasselt University, Belgium

    2 publications · 1.9K citations

    2

    h-index

  4. MO
    Michael O’Kelly

    Hasselt University, Belgium

    2 publications · 194 citations

    2

    h-index

  5. JP
    Jay P. Siegel

    Center for Biologics Evaluation and Research, United States

    2 publications · 2K citations

    2

    h-index

1–5 of 304

Venues

  1. PubMed

    Repository · 7 publications · 359 citations

    7

    h-index

  2. Statistics in Medicine

    6 publications · 513 citations

    6

    h-index

  3. Journal of Biomedical Informatics

    3 publications · 257 citations

    3

    h-index

  4. Journal of Clinical Epidemiology

    3 publications · 279 citations

    3

    h-index

  5. Journal of Bone and Joint Surgery

    JBJS · 2 publications · 65 citations

    2

    h-index

1–5