A CLASS OF HYPOTHESIS TESTS FOR ONE AND 2 SAMPLE CENSORED SURVIVAL-DATA
A CLASS OF HYPOTHESIS TESTS FOR ONE AND 2 SAMPLE CENSORED SURVIVAL-DATA
复制标题
DOI：
10.1080/03610928108828073
复制
发表时间：
1981-01-01
期刊：
影响因子：
--
通讯作者：
HARRINGTON, DP
中科院分区：
文献类型：
--
作者：
FLEMING, TR;HARRINGTON, DP
本文提出了一类新的非参数检验统计量，用于处理随机右删失生存数据的拟合优度或两样本假设检验问题。当人们希望对至少在一个时间点特别明显的生存分布差异敏感时，这些程序特别有用。这个类也足够丰富，允许选择某些统计数据，这些统计数据对特定时期内发生的生存差异非常敏感。每个检验统计量的渐近分布，然后在制定相应的测试程序。使用Monte Carlo模拟对小样本量和中等样本量的新程序的大小和功效进行评价。在两个样本情况下生成的模拟也允许与Gehan-Wilcoxon和对数秩检验程序的行为进行比较。
This paper proposes a class of new non-parametric test statistics useful for goodness-of-fit or two-sample hypothesis testing problems when dealing with randomly right censored survival data. The procedures are especially useful when one desires sensitivity to differences in survival distributions that are particularly evident at at least one point in time. This class is also sufficiently rich to allow certain statistics to be chosen which are yery sensitive to survival differences occurring over a specified period of interest. The asymptotic distribution of each test statistic is obtained and then employed in the formulation of the corresponding test procedure. Size and power of the new procedures are evaluated for small and moderate sample sizes using Monte Carlo simulations. The simulations, generated in the two sample situation, also allow comparisons to be made with the behavior of the Gehan-Wilcoxon and log-rank test procedures.