Sentence examples for mixed model settings from inspiring English sources

Among those providers coming from mixed model settings, there was a greater understanding of these other models of care.

In recent applications of SEM in quantitative genetics mixed model settings, causal structures were pre-selected based on prior beliefs alone.

Secondly, it is necessary to conduct a grid search of the transformation in order to find the optimum parameter that maximizes the residual likelihood both under the linear and the mixed model settings.

The Box-Cox power transformation can still be an effective tool for validating statistical inferences with large observational, cross-sectional, and hierarchical or repeated measure studies under the linear or the mixed model settings without prior knowledge of all the factors with potential structural effects.

The majority of these studies (45%) were conducted in staff, group and mixed model settings and 6 studies were conducted in IPAs, network model organizations, and Medicare or Medicaid MCOs; the remaining studies (40%) did not provide detailed information on the type of managed care setting.

The objectives of this study was to contrast the effect of obtaining the Box-Cox power transformation parameter and subsequent analysis of variance with or without a priori knowledge of predictor variables under the classic linear or linear mixed model settings.

The IC algorithm adapted to mixed models settings was applied to study 14 correlated bovine milk fatty acids, resulting in an undirected network.

Gianola and Sorensen [ 5] described SEM in a quantitative genetics context in order to account for possible feedback or recursive relations among traits in multi-trait mixed models settings.

We also note that population structure and PCs have previously been used successfully as fixed effects (or separate random effects) in mixed-model settings to address confounding from population structure and from unusually differentiated markers (Yu et al. 2006; Zhao et al. 2007; Price et al. 2010, 2013; Sul and Eskin 2013).

ML analyses of all these 200 newly generated datasets were analysed under mixed models with the settings as described above.

Two particular cases will be detailed: a half-sib regression which applies in many livestock practical settings, and a general mixed model approach valid for any type of pedigree.