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Journal of Statistical Theory and Practice

, Volume 11, Issue 3, pp 468–477 | Cite as

High-dimensional repeated measures

  • Martin Happ
  • Solomon W. Harrar
  • Arne C. Bathke
Article

Abstract

Recently, new tests for main and simple treatment effects, time effects, and treatment by time interactions in possibly high-dimensional multi-group 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 electroencephalo-graphy (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).

Keywords

Analysis of variance factorial design heteroscedasticity profile analysis R package 

AMS Subject Classification

62F03 

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References

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Copyright information

© Grace Scientific Publishing, 20 Middlefield Ct, Greensboro, NC 27455 2017

Authors and Affiliations

  • Martin Happ
    • 1
  • Solomon W. Harrar
    • 2
  • Arne C. Bathke
    • 1
    • 2
  1. 1.Department of MathematicsUniversity of SalzburgSalzburgAustria
  2. 2.Department of StatisticsUniversity of KentuckyLexingtonUSA

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