Effective Sample Size for Tests of Censored Survival Data
通过蒙特卡洛模拟，检验了删失数据中有效样本量通常取未删失观测数的惯例，发现删失观测对检验功效有显著贡献。
When survival experience of two groups is compared in the presence of arbitrary right censoring, the effective sample size for determining the power of the test used is usually taken to be the number of uncensored observations. This convention is examined through a Monte Carlo study. Empirical powers of the generalized Savage test and generalized Wilcoxon test with uncensored data are compared to those with censored data containing approximately the same number of uncensored observations. Large sample relative efficiencies are calculated for a Lehmann family of alternatives. It is shown that, depending on the underlying distribution and censoring mechanism, censored observations can add appreciably to the power of either test.