Cvcrand and cptest: Efficient Design and Analysis of ...
cvcrand and cptest: Efficient Design and Analysis of Cluster Randomized Trials
John Gallis
in collaboration with Fan Li, Hengshi Yu and Elizabeth L. Turner
Duke University Department of Biostatistics & Bioinformatics and Duke Global Health Institute
July 28, 2017
John Gallis
cvcrand: Efficient Design and Analysis of CRTs
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Presentation Outline
1. Background: Cluster Randomized Trials 2. Design: Covariate Constrained Randomization 3. Analysis: Clustered Permutation Test 4. Conclusions and Future Directions in Research
John Gallis
cvcrand: Efficient Design and Analysis of CRTs
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1. Background
John Gallis
Background
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Context: Cluster randomized trials (CRTs)
Also known as group-randomized trials Randomize "clusters" of individuals
e.g., communities, hospitals, etc. Rationale
Cluster-level intervention Risk of contamination across intervention arms The most common type of CRT is the two-arm parallel Randomize clusters to two intervention arms Outcome data obtained on individuals
John Gallis
Background
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2. Design
John Gallis
Design
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