Cluster randomized crossover trials with very few clusters but multiple periods: which analyses for continuous outcomes should be used?
极少集群、多时期的集群随机交叉试验：连续结局应采用哪些分析方法？
Cluster randomized crossover (CRXO) trials are often used when individual randomization is impractical and the number of available clusters is limited. However, statistical analysis of CRXO trials is complex because of the need to account for complex correlation structures over time. It becomes especially challenging when very few clusters are used because standard modeling assumptions may lead to unstable variance estimates, poor confidence interval coverage, and inflated…