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).
| Original language | English |
|---|---|
| Pages (from-to) | 468-477 |
| Number of pages | 10 |
| Journal | Journal of Statistical Theory and Practice |
| Volume | 11 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jul 3 2017 |
Bibliographical note
Publisher Copyright:© 2017 Martin Happ, Solomon W. Harrar, and Arne C. Bathke. Published with license by Taylor & Francis.
Keywords
- Analysis of variance
- R package
- factorial design
- heteroscedasticity
- profile analysis
ASJC Scopus subject areas
- Statistics and Probability