On the tests for the equality of means in the intraclass correlation model with missing data

Abstract

In this paper, testing for the equality of mean components and of two mean vectors in repeated measures with the intraclass correlation model are treated when the missing observations occur. We consider a new test statistic for the equality of mean components in one-sample problem. Further, we derive a new test statistic for the equality of two mean vectors. The distributions of the test statistics are given under the general case of missing observations. Finally, numerical examples by Monte Carlo simulation are conducted to illustrate power of the method proposed in this paper.