Missing Data Impact Assessment
Missing Data Impact Assessment is a methodological procedure within sample size planning that evaluates the extent to which missing data may compromise statistical power, bias estimates, and overall validity of study conclusions.
30
Publications
864
Citations
105
Authors
65
Institutions
Publications per year
2017–2026
9
Parents
30
1–5 of 30
105
1
h-index
1
h-index
The University of Texas Southwestern Medical Center, United States
1 publications · 16 citations
1
h-index
1
h-index
1
h-index
1–5 of 105
65
Brown University
Providence, United States
1 h-index
1 publications
51 citations
Indiana University
Bloomington, United States
1 h-index
1 publications
24 citations
Environmental Law Institute
Washington D.C., United States
1 h-index
1 publications
16 citations
Leibniz Institute for Science and Mathematics Education
Kiel, Germany
1 h-index
1 publications
11 citations
University of the West of Scotland
Paisley, United Kingdom
1 h-index
1 publications
16 citations
St Vincent's Hospital Melbourne
Melbourne, Australia
1 h-index
3 publications
48 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
8 publications
240 citations
Columbia University
New York, United States
1 h-index
1 publications
51 citations
1–8 of 65
1 publications · 41 citations
1
h-index
1 publications · 51 citations
1
h-index
JBS · 1 publications · 104 citations
1
h-index
1 publications · 10 citations
1
h-index
1 publications · 16 citations
1
h-index
1–5