Sentence examples for mixed models when from inspiring English sources

Exact(2)

That being said, our results do suggest caution in using mixed models when sample size is small, time points are many, and the proportion of data that are missing is high.

This study showed that the two-part joint mixed model (binomial/Poisson) model performed much better than the 'conventional' mixed models when only a random intercept was added to the models.

Similar(58)

In the mixed model, when nonthermal parameter tends to zero, the density of electrons convert to nonextensive distribution function.

Convergence of marginal POR model seems much better than non-linear mixed model, when fitted to cell counts of incomplete matched groups.

The data were generated under the SEM model as the objective was to evaluate the performance of the mixed model when the SEM is expected to be preferable.

Rescue was added as an additional effect to the mixed model when the analysis was performed on data regardless of rescue.

There was considerable evidence favoring the Student t mixed model for data sets simulated under Student t processes with limited degrees of freedom, and moderate advantages associated with using the Gaussian mixed model when working with datasets simulated with 50 or more degrees of freedom.

Given this uneven representation of plant and fungal species and potential correlations among closely related plant and fungal species, it is important to analyze these data using phylogenetic mixed models even when testing environmental moderators of plant responsiveness to mycorrhizal fungal inoculation.

These results coincide with univariate analyses (which were not shown here) based on linear mixed effects models when a single covariate effect is considered, adjusted for time trends and baseline scores.

None of the modifications showed a significant difference in the mixed model analysis when comparing RTT samples and controls on all loci.

Since student intake of each type of sugar-sweetened beverage and fruits and vegetables were positively skewed, they were square-root transformed in all mixed model analyses when determining statistical significance.

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