Sentence examples for models including main from inspiring English sources

Only the models including main effects were fitted.

Results from maximum likelihood estimation of logistic regression models, including main effects model and the final model are shown in Table 3.

To examine the gene × MD adherence interaction on the levels of cardiometabolic markers (TAG, TC, apoB and HbA1c), we used multivariable linear regression models including main effects and interaction terms.

In linear models including main effects for stress exposures and age, with separate slopes for CAPs mass concentration exposures by stress group (Table 4), the effect of CAPs on respiratory function was qualitatively different by stress group.

As a result of small sample size, potential covariates were individually tested in mixed models, including main effects of the covariate, diagnosis, test condition, and diagnosis by test condition interaction.

Third, final models including main effects and all interactions were built for independent variables, as the effect of age and BMI were hypothesized to be dependent on the patient gender.

Models included main effects of treatment and the potential moderator, as well as the interaction between them.

Models included main effects for group (intervention vs control), time (3, 9, 18 and 24 months) and a group × time interaction to assess group differences using all the data collection waves over time.

Applying a whole genome prediction model including main effects and epistatic interactions allowed predicting flowering time with an unmatched accuracy of 77% of cross-validated pG.

Fruit choice was analyzed using a logistic regression model including main effects for the prime, hunger and health goal rating, and all interaction terms up to the three-way interaction prime and hunger healthy goal rating.

Testing for the significance of the interaction SNP pair with respect to the quantitative phenotype, a standard linear regression on the full rank model including main effects is performed (ψ y)=α+β x A +γ x B +δ x A x B ), where the significance of the coefficient δ is compared to the HSIC realization derived for quantitative phenotype in Section 2.1.