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Testing Equality of Means and Simultaneous Confidence Intervals in Repeated Measures with Missing Data
by
Takashi Seo
Department of Applied Mathematics, Science University of Tokyo, JAPAN
In this paper, repeated measures with intraclass correlation model is considered when the observations are missing at random. An exact test for the equality of the mean components and simultaneous confidence intervals(Scheffe and Bonferroni inequality types) are given for linear contrasts of the mean components when the missing observations are of monotone type. When the missing observations are not of monotone type, the maximum likelihood estimates are obtained numerically by iterated methods given in Srivastava and Carter(1986). These estimators are then used to obtain asymptotic tests and confidence intervals for the equality of mean components and linear contrasts, respectively. An example is given to illustrate the method.
Date received: October 12, 2000
Copyright © 2000 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cafr-30.