A Generalization of a Nonparametric Test for Stochastically Ordered Distributions to Censored Survival Data
随机序分布非参数检验向删失生存数据的推广
SUMMARY Currently used test statistics for stochastically increasing survival times in a k-sample problem are linear combinations of either Gehan (generalized Wilcoxon) or generalized Savage score sums. The power of these tests depends on a priori knowledge about the true form of the alternative. When isotonic regression is applied to these score sums, it yields a new trend test for right-censored survival data which generalizes to left-truncated survival data and to…