A Rank-Based Test for Comparison of Multidimensional Outcomes.

A Rank-Based Test for Comparison of Multidimensional Outcomes.
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用于比较多维结果的基于排名的测试

DOI:
10.1198/jasa.2010.ap09114
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发表时间:
2010-06-01
影响因子:
3.7
通讯作者:
Yu KF
Yu KF
中科院分区:
数学1区
文献类型:
--
作者:
Liu A;Li Q;Liu C;Yu K;Yu KF

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For comparison of multiple outcomes commonly encountered in biomedical research, improved rank-sum tests through the replacement of the ad hoc variance by the asymptotic variance of the test statistics. The improved tests control the Type I error rate at the desired level and gain power when the differences between the two comparison groups in each outcome variable fall into the same direction. However, they may lose power when the differences are in different directions (e.g., some are positive and some are negative). These tests and the popular Bonferroni correction failed to show important significant difference when applied to compare heart rates from a clinical trial to evaluate the effect of a procedure to remove the cardioprotective solution HTK. We propose an alternative test statistic, taking the maximum of the individual rank-sum statistics, which controls the type I error and maintains satisfactory power regardless of the directions of the differences. Simulation studies show the proposed test to be of higher power than other tests in certain alternative parameter space of interest. Furthermore, when used to analyze the heart rates data the proposed test yields more satisfactory results.
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