Residual Confounding is a type of systematic bias in observational studies that persists after covariate adjustment, arising when unmeasured or imperfectly measured confounders remain unaccounted for in the analysis.
533
Publications
62.8K
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2.2K
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905
Institutions
Publications per year
2017–2026
197
Parents
Publications
533
1–5 of 533
Authors
2.2K
- GD
14
h-index
- TJ
12
h-index
- SGSander Greenland
University of California, Los Angeles, United States
11 publications · 6.2K citations
11
h-index
- SS
10
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- WD
6
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1–5 of 2.2K
Institutions
905
Harvard University
Cambridge, United States
33 h-index
114 publications
27.1K citations
University of Bristol
Bristol, United Kingdom
22 h-index
127 publications
16.5K citations
Brigham and Women's Hospital
Boston, United States
18 h-index
58 publications
6.7K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
15 h-index
31 publications
1.5K citations
University of California, Los Angeles
Los Angeles, United States
14 h-index
25 publications
8.3K citations
McGill University
Montreal, Canada
13 h-index
31 publications
2K citations
University of Washington
Seattle, United States
13 h-index
34 publications
8.2K citations
University of Pennsylvania
Philadelphia, United States
12 h-index
42 publications
16.5K citations
1–8 of 905
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- American Journal of Epidemiology
AJE · 34 publications · 8.2K citations
25
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- Statistics in Medicine
20 publications · 5.8K citations
19
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- Epidemiology
21 publications · 8K citations
17
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- International Journal of Epidemiology
16 publications · 1.4K citations
15
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- PubMed
Repository · 13 publications · 1.3K citations
12
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