A Nonparametric Multivariate Test for a Monotone Trend among k Samples

被引:0
作者
Hyun, Noo-Rie [1 ]
Song, Hae-Hiang [1 ]
机构
[1] Catholic Univ Korea, Med Coll, Dept Biostat, 505 Banpo Dong, Seoul 137701, South Korea
关键词
statistics; multivariate test; nonparametric test; severity scores;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The nonparametric bivariate two-sample test of Bennett (1967) is extended to the multivariate k sample test. This test has been easily modified for a monotone trend among k samples. Often in applications it is important to consider a set of multivariate response variables simultaneously, rather than individually, and also important to consider testing k samples altogether. Different approaches of estimating the null covariance matrices of the test statistics resulted in the same limiting form. The multivariate k sample test is applied to the non-normal data of a randomized trial conducted for a period of four weeks in mental hospitals. The purpose of the trial is to compare the efficacy of three different interventions for a relief of the frequently occurring problems of constipation, caused as a side effect of antipsychotic drugs during hospitalization. The bowel movement status of patient for a week is summarized into a single severity score, and severity scores of four weeks comprise a four-dimensional multivariate variable. It is desirable with this trial data to consider a multivariate testing among k samples.
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页码:1047 / 1057
页数:11
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