Sentence examples for modelled as random from inspiring English sources

All variables significant at the 0.05 level were then included as level 1 factors and modelled as random effects for each model.

To consider these uncertainties, the model uncertainty parameters, uncertain model input parameters and actual performance variables are modelled as random variables, and their distributions are updated simultaneously using Bayes' theorem.

High/low pool status was modelled as a fixed effect; array and assay strand were modelled as random effects.

High/low pool status, the variable of interest, was modelled as a fixed effect; array and assay strand were modelled as random effects to account for the additional variation they introduce to the analysis.

Respective centred pre-intervention scores were included in the model as a covariate, study group was modelled as a fixed effect, and care home and participants were modelled as random effects.

The within-participant repeated measurements of actual and perceived EMF exposure and mood will be the first-level variables, which will be modelled as fixed effects; the second level will be the individuals and will be modelled as random effects.

This was preferred to the less stable multi-level models with individual modelled as a random effect.

Finally we used clustering to quantify the relative contributions (that is, proportion of variation explained) of genetic and environmental effects to the variation in postpartum haemorrhage and modelled these as random effects in a generalised linear mixed model, specifying the expected cluster correlations for each effect.

The material properties of the rods are modelled either as random variables or as random processes, and the consequent effects on the nature of the power receptance functions are studied by using Monte Carlo simulation techniques.

To account for the repeated measures per patient, variables that were found to be independently associated with the bleeding outcomes in the stepwise logistic model were then included in a multi-level logistic regression model, with each patient now modelled as a random effect.

The column considered is modelled as a random medium and the search tactics for the control problem are formulated as those of automation behaviour in a random medium.