Missing Covariate Data
Missing Covariate Data is a type of data incompleteness in which covariate values are absent for certain observations in a statistical or mathematical model, thereby compromising the complete representation of the relationship between predictors and outcomes.
326
Publications
32.5K
Citations
722
Authors
362
Institutions
Publications per year
2017–2026
56
326
1–5 of 326
722
University of North Carolina at Chapel Hill, United States
25 publications · 2.3K citations
21
h-index
17
h-index
8
h-index
8
h-index
7
h-index
1–5 of 722
362
Fred Hutch Cancer Center
Seattle, United States
14 h-index
22 publications
2.9K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
12 h-index
29 publications
3.5K citations
Dana-Farber Cancer Institute
Boston, United States
12 h-index
17 publications
1.6K citations
University of Michigan
Ann Arbor, United States
10 h-index
22 publications
4.1K citations
Harvard University
Cambridge, United States
10 h-index
30 publications
3.7K citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
9 h-index
13 publications
1.7K citations
Medical University of South Carolina
Charleston, United States
9 h-index
12 publications
464 citations
Columbia University
New York, United States
8 h-index
11 publications
1.4K citations
1–8 of 362
31 publications · 5.8K citations
27
h-index
37 publications · 5.7K citations
25
h-index
25 publications · 1.2K citations
22
h-index
23 publications · 2.8K citations
16
h-index
CSDA · 8 publications · 179 citations
8
h-index
1–5