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Bayesian analyses were performed with MrBayes 3.1.2 [33], using a mixed model according to a gene-based data partition.
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For comparing the models and finding the final ones, following goodness of fit criteria were used: R for log-linear regression models with the same number of predictor variables, adjusted R for log-linear regression models with a different number of predictor variables, and the Akaike Information Criterion (AIC) for mixed models according to Demidenko (2004).
To compare all nine sites (3 polluted and 6 reference populations hybridized across 3 separate loops), loop (Ll), dye by loop interactions, and array nested in loop terms were added in the mixed model normalization according to the model yijl = μ + Ai + Dj + (AxD ij + Ll + (DxL jl + A(L il + εijl.
Longitudinal data were analyzed using general linear mixed models stratified according to the class of pre-operative deviation.
The distribution of the observation is a mixture between the two distributions predicted by the two hidden models, mixed according to the mixture model.
Degrees of freedom for the applied F-Tests of fixed effects in mixed models were adjusted according to Kenward and Roger [ 10].
This framework is a mixed maturity model that combines between sequential and staged models according to the scope of assessment: dimension or the entire organization.
In a final step, the quantitative and qualitative findings were compared according to mixed model analysis, 26 and aggregated into three areas constituting the headings of the results.
Growth rates were again opposite the prediction, with median growth faster on away habitats compared to home habitats according to the mixed model (Table 3).
Disease progression was evaluated based on the annual rate of change in each parameter and the composite score using a linear mixed model analysis, and by classifying patients according to the number of worsened parameters during the observation period.
Three additional SNPs (Table 1) have been simulated with a very small marginal effect, and an interaction associated with the disease, according to the mixed model offered by the logistic function of genomeSIMLA.
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