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
46
James Thomas, Steve McDonald, Anna H Noel-Storr et al. · Journal of Clinical Epidemiology · 2020 · 235 citations · Full text
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Center for Drug Evaluation and Research
Silver Spring, United States
4 h-index
6 publications
515 citations

University of Alberta
Edmonton, Canada
3 h-index
3 publications
173 citations
University College London
London, United Kingdom
2 h-index
5 publications
545 citations

Johns Hopkins University
Baltimore, United States
2 h-index
2 publications
117 citations
National Heart Lung and Blood Institute
Bethesda, United States
2 h-index
5 publications
3.5K citations
University of Michigan
Ann Arbor, United States
2 h-index
3 publications
40 citations
University Hospital of Basel
Basel, Switzerland
2 h-index
3 publications
318 citations

University of Bristol
Bristol, United Kingdom
2 h-index
5 publications
450 citations
1–8 of 108
4 publications · 249 citations
4
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3 publications · 344 citations
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3 publications · 1.8K citations
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2 publications · 116 citations
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2 publications · 215 citations
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