Treatment effect heterogeneity in paired data
配对数据中的处理效应异质性
Data from matched pairs are often analysed under the assumption that treatment effects are homogeneous. We develop tests of this assumption, with Poisson and binomial examples. Mixture models for inference when overdispersion is present are investigated, with stress on matched pairs of counts.