COMPARING TRIALS WITH MULTIPLE OUTCOMES - THE MULTIVARIATE ONE-SIDED HYPOTHESIS WITH UNKNOWN COVARIANCES

被引：10

作者：

FRICK, H ^{[1
]}

机构：

[1] INST DATENANAL & VERSUCHSPLANUNG,GAUTING,GERMANY

来源：

BIOMETRICAL JOURNAL | 1995年 / 37卷 / 08期

关键词：

EXTENDED OLS AND GLS TEST; WEI-LACHIN TEST;

D O I：

10.1002/bimj.4710370803

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The paper deals with a problem arising for tests in clinical trials. The outcomes of a standard and a new treatment to be compared are multivariate normally distributed with common but unknown covariance matrix. Under the null hypothesis the means of the outcomes are equal, under the alternative the new treatment is assumed to be superior, i.e. the means are larger without further quantification. For known covariance matrix there is a variety of tests for this problem. Some of these procedures can be extended to the case of unknown covariances if one is willing to accept a bias. There is, however, also an efficient unbiased test. The paper contains some numerical comparisons of these different procedures and takes a look on the minimax properties of the unbiased test.

引用

页码：909 / 917

页数：9

共 12 条

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