Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1147212 | Journal of Multivariate Analysis | 2009 | 8 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Numerical Analysis
Authors
Mi-Xia Wu, Kai F. Yu, Aiyi Liu,