Confidence Intervals from the Difference Between Two Correlated Proportions
针对匹配二元对数据，研究了两比例之差的置信区间构建方法，提出渐近法和保守法，并评估了小样本和中样本下的覆盖概率与平均宽度。
Abstract When data arise as matched binary pairs, it is often of interest to test whether or not the probabilities of an odd pair of each type are equal. Construction of a small-sample confidence interval for the difference in these probabilities is more difficult and either approximate or conservative methods need be resorted to. Two methods are suggested in this article, one a natural asymptotic method and the other a more generally applicable conservative method. The coverage probability and average width are studied for small and moderate sample sizes. Key Words: Conservative coverageMcNemar's testNuisance parameter