Spatial Confounding Adjustment is a statistical methodology designed to correct for the bias introduced by the misattribution of spatially structured confounding effects to the exposure or covariate of interest in disease mapping models.
40
Publications
2.8K
Citations
136
Authors
86
Institutions
Publications per year
2017–2026
20
Parents
Publications
40
1–5 of 40
Authors
136
- BJ
3
h-index
- VM
3
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- KH
2
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2
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- MO
2
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1–5 of 136
Institutions
86
Harvard University
Cambridge, United States
4 h-index
9 publications
336 citations
University of Minnesota
Minneapolis, United States
3 h-index
4 publications
1.3K citations
University of Washington
Seattle, United States
3 h-index
6 publications
740 citations
North Carolina State University
Raleigh, United States
3 h-index
6 publications
557 citations
Boston University
Boston, United States
3 h-index
7 publications
482 citations
Medical University of South Carolina
Charleston, United States
2 h-index
7 publications
189 citations
University of California, Irvine
Irvine, United States
2 h-index
3 publications
50 citations
University of Göttingen
Göttingen, Germany
2 h-index
4 publications
186 citations
1–8 of 86
Venues
- Environmetrics
3 publications · 95 citations
3
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- The American Statistician
3 publications · 524 citations
3
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- Epidemiology
2 publications · 103 citations
2
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- Biometrics
2 publications · 102 citations
2
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- PLoS ONE
2 publications · 58 citations
2
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1–5