High-dimensional repeated measures

Martin Happ; Solomon W. Harrar; Arne C. Bathke

doi:10.1080/15598608.2017.1307792

High-dimensional repeated measures

Martin Happ
, Solomon W. Harrar
, Arne C. Bathke

Dr. Bing Zhang Department of Statistics

Producción científica: Article › revisión exhaustiva

6 Citas (Scopus)

Resumen

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).

Idioma original	English
Páginas (desde-hasta)	468-477
Número de páginas	10
Publicación	Journal of Statistical Theory and Practice
Volumen	11
N.º	3
DOI	https://doi.org/10.1080/15598608.2017.1307792
Estado	Published - jul 3 2017

Nota bibliográfica

Publisher Copyright:
© 2017 Martin Happ, Solomon W. Harrar, and Arne C. Bathke. Published with license by Taylor & Francis.

Financiación

The research was supported by Austrian Science Fund (FWF) I 2697-N31.

Financiadores	Número del financiador
Austrian Science Fund	2697-N31

ASJC Scopus subject areas

Statistics and Probability

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AU - Bathke, Arne C.

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KW - Analysis of variance

KW - R package

KW - factorial design

KW - heteroscedasticity

KW - profile analysis

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ER -

High-dimensional repeated measures

Resumen

Nota bibliográfica

Financiación

ASJC Scopus subject areas

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