Application of Multilevel Models to Structured Repeated Measurements

Bernet Sekasanvu Kato, H.J.A. Hoijtink, Carla Verdellen, M.A. Hagenaars, Agnes van Minnen, Ger Keijsers

Research output: Contribution to journalArticleAcademicpeer-review


The linear mixed-effects model has been widely used for the analysis of continuouslongitudinal data. This paper demonstrates that the linear mixed model can be adapted andused for the analysis of structured repeated measurements. A computational advantage ofthe proposed methodology is that there is no extra burden on the analyst since any softwarefor linear mixed-effects models can be used to fit the proposed models. Two data sets fromclinical psychology are used as motivating examples and to illustrate the methods.
Original languageEnglish
Pages (from-to)711-732
JournalQuality and Quantity
Issue number39
Publication statusPublished - Dec 2005


  • Gilles de la Tourette syndrome data
  • multilevel model
  • linear mixed model
  • longitudinal data
  • speech data
  • structured repeated measurements


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