Sentence examples for variance from a linear from inspiring English sources

The relative strength of interaction fitted by BRT is quantified by the residual variance from a linear model, and the value indicates the relative degree of departure from a purely additive effect, with zero indicating no interaction effects fitted.

The within-subject estimate of variability is the square root of the estimated residual variance from a linear mixed effects model with fixed effects for age, gender and time, and a random effect for subject.

Their reliability measures, RΛ and RT, utilize estimated variances from a linear model to calculate reliability over the set of repeated measurements, conditional on the covariates.

We estimated the broad sense heritability of MTX toxicity by estimating the genetic and phenotypic variance components from a linear mixed model using the lme and VarCorr functions in the nlme package (Pinheiro et al. 2012).

For these non-iterative methods (with fixed variance "phenotypes" coming from a linear mean model), animal variance models could be fitted.

The variance inflation factors derived from a linear model containing all the predictors except the random effects (function "vif" of the R package "car," Quinn and Keough 2002; Fox and Weisberg 2011) revealed that collinearity was not an issue for both models (largest variance inflation factor is 2.1).

This fit accounts for 34% of the total variance using a linear regression model (Fig. 2b).

In this paper we consider estimation of the disturbance variance in a linear regression model.

ICC was calculated as within subject variance/total variance within a linear regression random effects model.

The average population parameter values, their inter-individual variances, and the residual variance of square root CD4 count departures from a linear trajectory were drawn from the literature review.

In a recent papers, Laenen A and Alonso A [ 36, 37] proposed a new measurement for reliability of a rating scale, based on the classical definition of reliability, as the ratio of the true score variance and the total variance, which is estimated from the covariance parameters obtained from a linear mixed model.