Nonparametric methods for analyzing incomplete nondecreasing repeated measurements.
Nonparametric methods for analyzing incomplete nondecreasing repeated measurements.
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DOI：
10.2307/2531731
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发表时间：
1988-12
期刊：
影响因子：
1.9
通讯作者：
C. S. Davis;L. J. Wei
中科院分区：
文献类型：
--
作者：
C. S. Davis;L. J. Wei
在比较两种治疗方法的有效性时，假设同一特征的非递减重复测量计划在每个研究对象的一组共同时间点上进行。提出了一类单变量单侧全局渐近无分布检验来检验两种处理的相等性。测试程序允许比较两组中缺失观察的不同模式，尽管缺失数据机制要求独立于每个治疗组的观察。给出了全局处理差的基于测试的点估计和区间估计。还提供了多个推理程序来检验整个研究中治疗差异的时间趋势。以膀胱癌研究为例说明了所提出的方法。
In comparing the effectiveness of two treatments, suppose that nondecreasing repeated measurements of the same characteristic are scheduled to be taken over a common set of time points for each study subject. A class of univariate one-sided global asymptotically distribution-free tests is proposed to test the equality of the two treatments. The test procedures allow different patterns of missing observations in the two groups to be compared, although the missing data mechanism is required to be independent of the observations in each treatment group. Test-based point and interval estimators of the global treatment difference are given. Multiple inference procedures are also provided to examine the time trend of treatment differences over the entire study. The proposed methods are illustrated by an example from a bladder cancer study.