Indirect Effects Under Interference is a causal inference framework that characterizes the spillover effects of a treatment on non-treated units through interconnected exposure pathways in the presence of interference, distinguishing it from direct effects by isolating transmission mechanisms across units.
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Average direct and indirect causal effects under interference
Yu‐Chen Hu, Shuangning Li, Stefan Wager · Biometrika · 2022 · 27 citations
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Statistical Service
Nicosia, Cyprus
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2 publications
50 citations
Harvard University
Cambridge, United States
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2 publications
858 citations
Stanford University
Stanford, United States
1 h-index
2 publications
54 citations
University of Florence
Florence, Italy
1 h-index
2 publications
50 citations
Palo Alto University
Palo Alto, United States
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1 publications
27 citations
Associated Press
New York, United States
1 h-index
1 publications
475 citations
Universitat Pompeu Fabra
Barcelona, Spain
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2 publications
50 citations
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- Statistical Methods in Medical Research
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- Biometrika
1 publications · 27 citations
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- The Annals of Applied Statistics
AOAS · 1 publications · 25 citations
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- Journal of the American Statistical Association
1 publications · 475 citations
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