Exact inference on contrasts in means of intraclass correlation models with missing responses

Mi-Xia Wu, Kai F. Yu and Aiyi Liu

Journal of Multivariate Analysis, 2009, vol. 100, issue 2, 301-308

Abstract: Intraclass correlation models with missing data at random are considered. With a properly reduced model, a general method, which allows repeated observations with missing data in a non-monotone pattern, is proposed to construct exact test statistics and simultaneous confidence intervals for linear contrasts in the means. Simulation results are given to compare exact and asymptotic simultaneous confidence intervals. A real example is provided for the illustration of the proposed method.

Keywords: primary; 62H15 secondary; 62H12 Contrast Exact test Intraclass correlation model Linear mixed model Simultaneous confidence intervals (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (1)

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