Sentence examples for using mixed models and from inspiring English sources
Data analysis is performed using mixed models and the tests are two-sided, with a type I error set at α = 0.05.
Changes in Positive and Negative Syndrome Scale (PANSS) and neurocognitive scores were compared using mixed models and analysis of variance.
A longitudinal data analysis was performed using mixed models and multilevel modeling techniques.
The 'qtscore' function implements the association test 'Genome-wide Rapid Analysis using Mixed Models And Score' (GRAMMAS, Amin et al. (2007)).
Two fast tests for genome wide association were applied, Family-based Score Test for Association FASTAA, [ 63]) and Genome-wide Rapid Analysis using Mixed Models And Score test (GRAMMAS, [ 64]) using the R package GenABEL (http://www.cran.r-project.org).org
Two fast tests for genome wide association were applied, Family-based Score Test for Association FASTAA, [ 88]) and Genome-wide Rapid Analysis using Mixed Models And Score test (GRAMMAS, [ 42]) using the R package GenABEL.
Aulchenko, Y.S., de Koning, D.J. & Haley, C. Genomewide rapid association using mixed model and regression: a fast and simple method for genomewide pedigree-based quantitative trait loci association analysis.
The GWAS was performed by applying the genome-wide rapid association approach using mixed model and regression [ 13, 14], according to [ 11].
A genome-wide association study was performed by applying the previously reported approach of genome-wide rapid association using mixed model and regression.
The genome-wide association analysis (GWA) was performed using the genome-wide rapid association using mixed model and regression (GRAMMAR; Aulchenko et al., 2007) approach, this being a two-step approximation to full mixed-model analyses.
In the genome-wide rapid association using mixed model and regression (GRAMMAR) approach, the observed phenotype is analyzed under a mixed model resulting in an EBV and a residual, with the latter being used as the trait value for GWAS (Aulchenko et al. 2007a).
