Missing Data Risk Management

Missing Data Risk Management is a methodological framework within clinical trial risk management that specifically addresses the identification, prevention, and mitigation of risks arising from incomplete data collection, ensuring data integrity and validity through systematic strategies tailored to preserve statistical power and minimize bias.

46

Publications

4K

Citations

191

Authors

108

Institutions

Publications per year

2017–2026

18

Authors

191

  1. GN
    Geoff Newiss

    Wakefield College, United Kingdom

    3 publications · 132 citations

    3

    h-index

  2. TP
    Thomas Permutt

    University of Maryland, Baltimore, United States

    2 publications · 101 citations

    2

    h-index

  3. CN
    Charla Nich

    Yale University, United States

    2 publications · 215 citations

    2

    h-index

  4. KM
    Kathleen M. Carroll

    Yale University, United States

    2 publications · 215 citations

    2

    h-index

  5. JT
    James Thomas

    University College London, United Kingdom

    1 publications · 235 citations

    1

    h-index

1–5 of 191

Venues

  1. Journal of Biomedical Informatics

    4 publications · 249 citations

    4

    h-index

  2. Statistics in Medicine

    3 publications · 344 citations

    3

    h-index

  3. Journal of Clinical Epidemiology

    3 publications · 1.8K citations

    3

    h-index

  4. Trials

    2 publications · 116 citations

    2

    h-index

  5. Journal of Consulting and Clinical Psychology

    2 publications · 215 citations

    2

    h-index

1–5