Spatial Confounding is a form of confounding bias in spatial epidemiologic analysis that arises when unmeasured or inadequately modeled spatially varying factors share spatial structure with both the exposure (or other covariates) and the outcome, or with spatial random effects used to model residual spatial correlation, thereby distorting estimated exposure–outcome associations.
320
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477
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2017–2026
96
Publications
320
The Uncertain Geographic Context Problem
Mei‐Po Kwan · Annals of the Association of American Geographers · 2012 · 1.4K citations
How collinearity affects mixture regression results
Jan-Michael Becker, Christian M. Ringle, Marko Sarstedt et al. · Marketing Letters · 2014 · 553 citations
1–5 of 320
Authors
974
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7
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6
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5
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1–5 of 974
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477
Harvard University
Cambridge, United States
19 h-index
50 publications
4.5K citations
Emory University
Atlanta, United States
11 h-index
34 publications
3.7K citations
North Carolina State University
Raleigh, United States
11 h-index
15 publications
1.3K citations
University of Washington
Seattle, United States
9 h-index
13 publications
1.8K citations
Boston University
Boston, United States
9 h-index
22 publications
943 citations
University of Minnesota
Minneapolis, United States
9 h-index
10 publications
1.8K citations
Inserm
Paris, France
8 h-index
28 publications
1.4K citations
Imperial College London
London, United Kingdom
7 h-index
10 publications
531 citations
1–8 of 477
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- Biometrics
16 publications · 1.3K citations
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- Environmental Health Perspectives
EHP · 8 publications · 928 citations
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- Spatial and Spatio-temporal Epidemiology
8 publications · 183 citations
8
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- International Journal of Health Geographics
7 publications · 304 citations
7
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- Epidemiology
7 publications · 385 citations
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