Sentence examples for mixed model methodology from inspiring English sources

Data were analyzed using generalized linear mixed model methodology, and loading time was analyzed using mixed model procedures.

Loading time was analyzed using mixed model procedures, and stress responses were analyzed using generalized linear mixed model methodology.

This study investigated the statistical power for identifying nucleotide variants associated with quantitative traits using the mixed model methodology.

Strategies that utilize EBVs derived from genomic analyses (genomic EBVs), together with conventional mixed model methodology, may speed up the process of breeding animals with subsequent higher and more efficient production.

In this paper we present a novel method for the analysis of relative quantification of qRT-PCR data, which consists of the analysis of cycles to threshold values (CT) for a target and a control gene using a general linear mixed model methodology.

Spatial information recovered by Geographic Information System (GIS) processing from these asymmetrical experimental units, when coupled with general linear mixed model methodology, permits the assessment of effects on geo-referenced yield points due to topography, the site-specific and/or traditional farm management practices, and various interactions among them.

The mixed-model methodology is particularly appropriate because it accounts for covariance issues in multiple measures of patients' responses over time.

This matrix Q was then used to estimate average allele frequencies using mixed-model methodology, as described by Gengler et al. [ 21].

The development of mixed-model methodology has proceeded rapidly over the past years (Snijders and Bosker 1999; Pinheiro and Bates 2000; Venables and Ripley 2002; Faraway 2006; Galwey 2006; Gelman and Hill 2007), and mixed models are now commonly used in analyses of observational and experimental data.

Clinical effectiveness data were analyzed in patients who had a non-missing baseline and at least one postbaseline assessment for a given effectiveness measurement and used mixed-model methodology with baseline value as a covariate, a fixed effect for time, and a random effect for center.

As a formal evaluation approach, we will apply the linear mixed effects model methodology to compare the changes from the baseline to 12-month follow-up in levels of estrogens, markers of obesity, insulin resistance and inflammation and also in our psychosocial outcomes of interest.