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

Authors:
Mi-Xia Wu;Kai F. Yu;Aiyi Liu
Affiliations:
College of Applied Sciences, Beijing University of Technology, Beijing 100022, China and Biometry and Mathematical Statistics Branch, Division of Epidemiology, Statistics and Prevention Research, ...;Biometry and Mathematical Statistics Branch, Division of Epidemiology, Statistics and Prevention Research, National Institute of Child Health and Human Development, NIH/DHHS, 6100 Executive Boulev ...;Biometry and Mathematical Statistics Branch, Division of Epidemiology, Statistics and Prevention Research, National Institute of Child Health and Human Development, NIH/DHHS, 6100 Executive Boulev ...
Venue:
Journal of Multivariate Analysis
Year:
2009

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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.