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The two genders were analysed separately, while the weight and feed consumption data were analysed by applying mixed models and using the restricted maximum likelihood (REML) algorithm with Toeplitz covariance structure.
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The mean changes in both the observational and interventional phases were estimated by applying mixed effects analyses using an unstructured covariance model to account for correlations in measurements across time.
To analyze whether specific traits were associated with the colouration we applied mixed model ANCOVAS.
Raw methylation data can still be used (instead of for example averaging over the various CpG dinucleotides that differ in DNA methylation level) by applying linear mixed models.
By applying a mixed model commonly used to estimate the heritability of complex traits (Visscher et al., 2006; Yang et al., 2011), we estimated the fractions of phenotypic variation, h + 2, h − 2 attributable to each component of inheritance.
Since we had an unbalanced design of repeated measures, we applied mixed linear models.
For this small sample we applied mixed linear models to analyze the two repeated measurements.
The data will be analyzed by applying linear mixed effect models.
By applying linear mixed effects modeling (Pinheiro & Bates, 2000), we call attention to the potential lack of power of the by-subject and by-item analyses, which in this case study fail to reveal the coexistence of a facilitatory family size effect and an inhibitory family frequency effect in visual and auditory lexical processing.
Using a 2 (treatment) × 2 (time: baseline and 6-month follow-up) design, we analysed the treatment effect in relative aerobic capacity by applying a mixed linear model with random intercepts and slopes.
To deal with this unbalanced design, we tested for differences in stable isotopic signatures among ectoparasite species and host tissues (blood and feathers) by applying a linear mixed model (LMM) using the restricted maximum likelihood (REML) estimation method.
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