There are several linear and nonlinear models for analyzing repeated measurements.The mean response for an individual depends on the regression parameters speciåcto that individual. One of the simple form is the sum of vectors of åxed parameters andrandom eãects. When the models with mixed eãects for several groups are parallel, pairwisecomparisons of level diãerences are considered. For the comparisons, simultaneousconådence intervals are given approximately.
@article{145,
title = {Pairwise comparisons for parallel profile models with mixed effects},
journal = {Tatra Mountains Mathematical Publications},
volume = {51},
year = {2012},
doi = {10.2478/tatra.v51i1.145},
language = {EN},
url = {http://dml.mathdoc.fr/item/145}
}
Hyakutake, Hiroto. Pairwise comparisons for parallel profile models with mixed effects. Tatra Mountains Mathematical Publications, Tome 51 (2012) . doi : 10.2478/tatra.v51i1.145. http://gdmltest.u-ga.fr/item/145/