Two-Sample Repeated Significance Tests Based on the Modified Wilcoxon Statistic
针对随机交错进入和随机失访的两样本生存数据，推导了序贯计算的修正Wilcoxon得分的渐近分布，并基于此提出重复显著性检验方法，用于检验两条生存曲线是否相等，通过前列腺癌例子展示早期停止性质。
Abstract The asymptotic distribution theory of sequentially computed modified-Wilcoxon scores is developed for two-sample survival data with random staggered entry and random loss to follow-up. The asymptotic covariance indicates generally dependent modified-Wilcoxon increments, contradicting (the authors' reading of) Jones and Whitehead (1979). A repeated significance testing procedure is presented for testing the equality of two survival distributions based on the asymptotic theory. The early stopping properties of this procedure are illustrated by a prostate cancer example.