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A mixed model approach is used to construct optimal cross-over designs.
A linear mixed model approach was taken in each instance with fixed factors group and side and their corresponding interaction.
Moreover the mixed model approach accounts for the grouped structure of the used NFI-data and the related correlated errors.
In this paper, we propose a linear mixed model approach for accounting the correlation within linear profiles in phase II.
The statistical properties of breeding values resulting from the mixed model approach still hold for a population under selection.
Calculation of the FDRs for the mixed model approach was carried out with scripts modified from the Cyber-T source code.
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Later on, an additional and exploratory analysis will be carried out in which all time points are examined by using a multilevel-mixed model approach.
Recently, Piepho (2005) proposed a mixed-model approach to modeling highly structured covariance matrix and showed that the mixed-model approach outperforms all the methods described above.
The mixed-model approach of Piepho (2005) was implemented using the MIXED procedure of the SAS system (SAS Institute, Cary, NC).
Korte, A. et al. A mixed-model approach for genome-wide association studies of correlated traits in structured populations.
Segura, V. et al. An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations.
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combined model approach
mixed modelling approach
mixed model Section
mixed bag approach
mixed method approach
mixed chimerism approach
mixed model analysis
mixed model fit
mixed treatment approach
mixed model group
mixed use approach
mixed model regression
mixed model sensitivity
mixed model procedure
mixed model creation
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