High-dimensional repeated measures.

ABSTRACT: Recently, new tests for main and simple treatment effects, time effects, and treatment by time interactions in possibly high-dimensional multigroup repeated-measures designs with unequal covariance matrices have been proposed. Technical details for using more than one between-subject and more than one within-subject factor are presented in this article. Furthermore, application to electroencephalography (EEG) data of a neurological study with two whole-plot factors (diagnosis and sex) and two subplot factors (variable and region) is shown with the R package HRM (high-dimensional repeated measures).

SUBMITTER: Happ M 

PROVIDER: S-EPMC5546067 | biostudies-other | 2017 Jul

REPOSITORIES: biostudies-other