Two-stage Randomization
Two-Stage Randomization is a causal inference design in which clusters or units are first randomized to treatment or control conditions, followed by a second randomization of individuals within treated clusters to varying levels or forms of intervention, thereby enabling the estimation of direct and spillover effects while accounting for interference.
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1.5K
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49
Institutions
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2017–2026
8
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Two-stage Randomized Design
Parents
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Minchul Kim, Xiaoxia Cao · DOAJ (DOAJ: Directory of Open Access Journals) · 2016 · 87 citations · Full text
Randomization tests of causal effects under interference
Guillaume Basse, Avi Feller, Panos Toulis · Biometrika · 2018 · 80 citations
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Hong Kong Polytechnic University, Hong Kong SAR China
2 publications · 69 citations
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1–5 of 73
49
University of Pittsburgh
Pittsburgh, United States
2 h-index
2 publications
50 citations
University of California, Berkeley
Berkeley, United States
2 h-index
3 publications
257 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
4 publications
138 citations

Cairo University
Giza, Egypt
2 h-index
4 publications
56 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
2 publications
68 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
6 publications
468 citations
Indiana University
Bloomington, United States
1 h-index
1 publications
87 citations
University of Chicago
Chicago, United States
1 h-index
1 publications
80 citations
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2 publications · 235 citations
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2 publications · 69 citations
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1 publications · 80 citations
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1 publications · 12 citations
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1 publications · 419 citations
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