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

doi:10.1007/s11135-005-4482-y

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 journal › Article › Academic › peer-review

Abstract

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 language	English
Pages (from-to)	711-732
Journal	Quality and Quantity
Issue number	39
DOIs	https://doi.org/10.1007/s11135-005-4482-y
Publication status	Published - Dec 2005

Keywords

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

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10.1007/s11135-005-4482-y

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title = "Application of Multilevel Models to Structured Repeated Measurements",

abstract = "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.",

keywords = "Gilles de la Tourette syndrome data, multilevel model, linear mixed model, longitudinal data, speech data, structured repeated measurements",

author = "Kato, {Bernet Sekasanvu} and H.J.A. Hoijtink and Carla Verdellen and M.A. Hagenaars and {van Minnen}, Agnes and Ger Keijsers",

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AU - van Minnen, Agnes

AU - Keijsers, Ger

PY - 2005/12

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N2 - 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.

AB - 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.

KW - Gilles de la Tourette syndrome data

KW - multilevel model

KW - linear mixed model

KW - longitudinal data

KW - speech data

KW - structured repeated measurements

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JO - Quality and Quantity

JF - Quality and Quantity

IS - 39

ER -

Application of Multilevel Models to Structured Repeated Measurements

Abstract

Keywords

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