Exact inference on contrasts in means of intraclass correlation models with missing responses.
Intraclass correlation models with missing data at random are considered. With a properly reduced model, a general method, which allows repeated observations with missing in 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 illustration of the proposed method.
Wu
Mi-Xia
MX
Biometry and Mathematical Statistics Branch, Division of Epidemiology, Statistics and Prevention Research, National Institute of Child Health and Human Development, NIH/DHHS, 6100 Executive Boulevard, Rockville, Maryland 20852, U.S.A.
Yu
Kai F
KF
Liu
Aiyi
A