SIZE AND POWER OF 2-SAMPLE TESTS OF REPEATED-MEASURES DATA
SIZE AND POWER OF 2-SAMPLE TESTS OF REPEATED-MEASURES DATA
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DOI：
10.2307/2532244
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发表时间：
1993-12-01
期刊：
影响因子：
1.9
通讯作者：
LAGAKOS, SW
中科院分区：
文献类型：
--
作者：
DAWSON, JD;LAGAKOS, SW
在临床试验中使用重复测量数据来比较治疗组的一种方法是用单一的汇总统计量来总结每个受试者的结果，然后基于所得到的统计量进行无分布比较。我们研究了这种方法的扩展，以及在存在丢失数据的情况下它们保持适当大小的条件。计算了几种汇总统计检验的渐近相对效率，以显示哪种检验在各种情况下表现最好。这些技术是使用艾滋病临床试验的数据进行说明的。
One method of using repeated measures data to compare treatment groups in a clinical trial is to summarize each subject's outcomes with a single summary statistic, and then perform a distribution-free comparison based on the resulting statistics. We examine extensions of this approach and conditions under which they retain proper size in the presence of missing data. The asymptotic relative efficiencies of several summary statistic tests are calculated to show which perform best in a variety of situations. The techniques are illustrated using data from an AIDS clinical trial.