Sentence examples for use of mixed models from inspiring English sources

Temporal changes and total amount of hormone secretions were compared between treatment groups with the use of mixed models.

Use of mixed models is in the spotlight as an emerging method for genome-wide association studies (GWASs).

The use of mixed models allows for the estimation of separate stratum variances thus providing a more complete description of the data (Gilmour et al. 1995).

This chapter uses a set of examples to demonstrate the use of mixed models analysis to address the analysis of data.

The use of mixed models and REML estimation is advocated for model fitting with all LTEs, due to the fact that most designs are non-orthogonal, as plots may not produce data for the test-crop under study in all years.

The use of mixed models accounts for the correlated data within the same puff profile.

The current use of mixed model analysis allowed an estimation of utility scores for varied combinations of disease stage and toxicity.

There has been increasing use of mixed model methodology in this field, for both the estimation of (co variance components and the prediction of genetic merit for varietal selection, e.g. [ 7- 11].

This use of mixed modelling has generally not been acknowledged in head lice research as only a few authors (10, 13) have combined class and school affiliation with individual and household variables.

To test for differences in the variation due to sex and sociality, we made used of mixed modeling techniques to model regression with heteroskedastic residual errors, with maximum likelihood estimation method.

However, the use of mixed-model analytic techniques minimized the impact of these losses and enabled us to examine function across several cognitive domains.