论文标题
成对匹配在实验设计中的作用
The Role of Pairwise Matching in Experimental Design for an Incidence Outcome
论文作者
论文摘要
我们考虑了在非参数一般响应模型下的两臂随机实验评估设计的问题。我们的两个主要结果是Greevy等人的先验对匹配设计。 （2004年）是（1）在所有块设计中通过平均误差衡量的最佳设计，包括完全随机化。 （2），此配对设计是最小值，即在对抗响应模型下提供了最低的平方误差。理论结果由模拟和临床试验数据支持。
We consider the problem of evaluating designs for a two-arm randomized experiment with an incidence (binary) outcome under a nonparametric general response model. Our two main results are that the priori pair matching design of Greevy et al. (2004) is (1) the optimal design as measured by mean squared error among all block designs which includes complete randomization. And (2), this pair-matching design is minimax, i.e. it provides the lowest mean squared error under an adversarial response model. Theoretical results are supported by simulations and clinical trial data.
