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In most cases, the mixed model did not converge, so that we tested the inclusion of only mixed parameters associated with those parameters that define the asymptote of the h-d curve until reaching convergence.
We report high levels of variation in the PEPCK gene fragment, and although the mixed model did not provide a better fit than a null coalescent, using both markers in combination with morphological data provided resolution for many species of Rhithrogena and constitutes an important advance in our understanding of this morphologically cryptic group.
The previous PANKO mixed model did show impaired insulin secretion, resulting in glucose intolerance.
The linear mixed model did not show a significant difference in treatment effects between the two groups either (P = 0.41).
Inclusion of depression status and psychotropic medication use as covariates in the mixed model did not affect the principle findings.
We estimated the effect on subjective quality of life using a random effects model fitted by generalised least squares, since the mixed model did not converge.
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In addition, a mixed model does not need complete data from all subjects.
This does not seem to be the case empirically and is further confirmed by data on dairy cattle in [ 3], which show that the expected accuracies from the mixed model do not always match the observed accuracies.
This mixed model does not make the unrealistic assumption that the missing data are similar to the nonmissing data, but rather the less strict assumption that the missing values are similar to nonmissing values for patients of the same age, treatment and observed (pre-death) HRQoL.
Unfortunately, this apparent power advantage of mixed models in these two RCTs is not legitimate because the mixed models did not adequately hold the type 1 error rate in those situations.
However, gas stove covariates in the mixed models did not affect the magnitude or statistical significance of associations of FEV1 with personal NO2.
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