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- Title
Optimal Sample Allocation Under Unequal Costs in Cluster-Randomized Trials.
- Authors
Shen, Zuchao; Kelcey, Benjamin
- Abstract
Conventional optimal design frameworks consider a narrow range of sampling cost structures that thereby constrict their capacity to identify the most powerful and efficient designs. We relax several constraints of previous optimal design frameworks by allowing for variable sampling costs in cluster-randomized trials. The proposed framework introduces additional design considerations and has the potential to identify designs with more statistical power, even when some parameters are constrained due to immutable practical concerns. The results also suggest that the gains in efficiency introduced through the expanded framework are fairly robust to misspecifications of the expanded cost structure and concomitant design parameters (e.g., intraclass correlation coefficient). The proposed framework is implemented in the R package odr.
- Subjects
INTRACLASS correlation; STATISTICAL power analysis; COST structure; VARIABLE costs
- Publication
Journal of Educational & Behavioral Statistics, 2020, Vol 45, Issue 4, p446
- ISSN
1076-9986
- Publication type
Academic Journal
- DOI
10.3102/1076998620912418