Sentence examples for mixed models incorporating from inspiring English sources
The analysis was carried out using linear mixed models incorporating correlations between sequence changes within the same protein and proteins within the same individual.
The multi-level generalized linear mixed models incorporating the hierarchically structured random effects, and the fixed effects component were fitted using the GLIMMIX procedure in SAS® 9.1 (SAS Institute Inc., Cary, NC).
We analyzed behavioral and BMI outcomes with generalized mixed models incorporating multiple imputation for missing values.
The resulting rates of change were analysed by linear mixed models, incorporating aspect nested in tooth nested in dog as random effects and tooth number, periodontitis status at the end of the study, aspect as fixed effects, along with tooth type, jaw and their interaction.
The models used were similar to the kind that might be fit in a multi-center study, i.e. mixed models incorporating a random care group effect (PROC MIXED command in the SAS® 9.2 Software), which was considered most suitable given the possibility of 'residual heterogeneity' [ 30].
Bayesian linear mixed models incorporating effects of population structure were used to construct multi-locus models for each trait (Quesada et al. 2010; Eckert et al. 2012).
Our linear mixed models incorporated potentially confounding baseline variables found to have an association (P < 0.20) with both DRG 541/542 status and the outcome of interest, including preadmission Charlson score, preadmission IADLs, admission diagnosis, admission source, education level, age, and APS.
The model was a linear mixed model incorporating population as a random effect.
The F-test for the time effect within branch was obtained from a mixed model incorporating the selected covariance structure.
Instead we included all FID data for all individuals and conducted generalised linear mixed modelling, incorporating swan identity as a random effect and FID as the dependent variable.
For the GBLUP analyses, custom developed software was used to generate the genomic relationship matrix [ 23] and to fit a generalized linear mixed model incorporating fixed effects and a random additive genetic merit effect for each individual.
