Interference-robust Estimation
Interference-Robust Estimation is a statistical inference method designed to yield valid causal effect estimates in the presence of cross-unit interference, thereby distinguishing it from conventional estimation techniques that assume treatment independence.
38
Publications
2K
Citations
78
Authors
56
Institutions
Publications per year
2017–2026
21
38
1–5 of 38
78
University of North Carolina at Chapel Hill, United States
6 publications · 285 citations
7
h-index
University of North Carolina at Chapel Hill, United States
2 publications · 106 citations
3
h-index
3
h-index
3
h-index
2
h-index
1–5 of 78
56
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
12 publications
562 citations

Johns Hopkins University
Baltimore, United States
4 h-index
3 publications
129 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
3 publications
129 citations
University of California, San Francisco
San Francisco, United States
3 h-index
9 publications
250 citations
The University of Texas at Austin
Austin, United States
2 h-index
2 publications
29 citations
Stanford University
Stanford, United States
2 h-index
2 publications
48 citations
Harvard University
Cambridge, United States
2 h-index
4 publications
884 citations
University of Washington
Seattle, United States
2 h-index
1 publications
76 citations
1–8 of 56
2 publications · 109 citations
3
h-index
Repository · 3 publications · 52 citations
3
h-index
AOAS · 2 publications · 48 citations
2
h-index
2 publications · 471 citations
2
h-index
2 publications · 112 citations
2
h-index
1–5