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Such models need a mixed models approach to provide an adequate analysis.
Data were analyzed using a mixed models approach to repeated measures.
p-Values were calculated using a mixed models approach as described in methods.
As a consequence only the results of the mixed models approach are presented.
Data were analysed using a mixed models approach to repeated measures.
Continuous outcomes will be analysed using a linear mixed models approach.
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The analysis of such data is usually carried out using a general mixed modelling approach.
A mixed model approach is used to construct optimal cross-over designs.
Moreover the mixed model approach accounts for the grouped structure of the used NFI-data and the related correlated errors.
A linear mixed model approach was taken in each instance with fixed factors group and side and their corresponding interaction.
In this paper, we propose a linear mixed model approach for accounting the correlation within linear profiles in phase II.
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