Sentence examples for by comparing a model from inspiring English sources

We estimated the significance of the interactions between these two variables by comparing a model including only fixed effects vs. a model including fixed effects and their interaction.

Analyses were performed in PAML by comparing a model with one-rate category to a model that added a neutral rate category and then to a 3rd model that added a category for positively selected sites.

We used unconditional logistic regression to test the null hypothesis of no association between specific multi-marker tagging haplotype and cancer, by comparing a model with terms for subject specific-haplotype indicator with the intercept only model.

The global null hypothesis of no association between haplotype frequency (by haplotype block) and cancer was tested, by comparing a model with multiplicative effects for each common haplotype (treating the most common haplotype as the referent) to the intercept-only model.

The use of maximum likelihood to measure model fit allows for testing of specific hypotheses by comparing a model and nested submodels using the chi-square statistic.

Finally, consistency can be assessed by comparing a model that satisfies only some consistency restrictions (or no restrictions at all) with the consistency model.

We consider whether knowledge and control of this behaviour is beneficial by comparing a simulation model, exploiting the same rate adaptation and channel switching criteria, with real measurements using an adaptive streaming application.

Statistical significance of the genetic and environmental covariances was assessed with Log Likelihood ratio tests by comparing a full model with a model in which tested covariance was constrained to zero.

CODEML (PAML version 4, [ 72]) was also used to detect positive selection by comparing a null model and a model that allows positive selection (M1 vs. M2 and M7 vs. M8).

The statistical significance of random and fixed effects was assessed by comparing a full model with reduced models not containing the factor of interest, using log-likelihood tests [ 20].

This method tests for positive selection by comparing a null model of neutral evolution to a model of positive selection on those branches (Zhang et al., 2005).