Sentence examples for mixed models has from inspiring English sources

In addition, the wide range of Poisson and NB panel and mixed models has been developed.

We acknowledge that the attrition has resulted in missing data over time, however the use of linear mixed models has been shown to be robust when missing data depends on baseline values [ 75].

Multiplicative mixed models have recently been proposed for the analysis of data from series of plant variety trials.

The probable applications of recent advanced tools of linear and non-linear mixed models like the linear mixed model, generalized linear model, and generalized linear mixed models have been presented.

Mixed models have the advantage both of allowing for including all data points produced by a participant (instead of computing means for each participant) and accounting for both by-participant and by-item variance.

Two sets of mixed models have been proposed on the basis of individual layer as well as equivalent single layer (ESL) theories by selectively incorporating non-linear components of Green's strain tensor.

Mixed models have been successfully used to address this type of problem (e.g. Lappi 1997; Calama and Montero 2004; Castedo Dorado et al. 2006).

Mixed models have been recommended for analyses of trial data (Gueorguieva & Krystal, 2004).

MCMC algorithms for sampling effects and variances in mixed models have been extensively described, for a general overview see [ 24].

In practice, mixed models have become the most popular method for analyzing repeated measures and longitudinal data.

Simple methods based on linear mixed models have been proposed [ 9, 29] to estimate ρ, but an unbiased and robust estimator for animal models still requires further research.