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Our combined general linear model showed that, of the variables in our model, an understanding of the nature of science explained the greatest amount of variation in acceptance of evolution.
Here, we re-examine this issue, employing a combined general linear model to test genetic interactions and knockout fitness effects as well as three additional variables that might affect 'phenotypic potential', i.e., the ability of genes to act as phenotypic capacitors for non-genetically caused phenotypic variability.
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In the multivariate linear regression analysis for the combined general population subgroups, there was no evidence of a statistically significant decline in HCV prevalence over time (p-value of 0.215).
The adjoint variable method is utilized to derive the shape sensitivities by combining the general linear elastic equation with a weak imposition of Dirichlet boundary conditions.
They combine the general linear model (used to create the statistical map) and the theory of Gaussian fields to make statistical inferences about regional effects [41].
It combines the general linear model (to create the statistical map) with Gaussian field theory in order to draw statistical inferences about regional effects (Friston et al., 1995).
In combined analysis, we used General linear model (GLM) univariate analysis with continuous phenotypes as dependent variable, semi-continuous SNP genotype as independent variable under an additive model and study stage, sex, age and BMI as covariates for adjustment.
Because both SLC47A1 rs2289669 genotype and statin use were associated with cholesterol levels, combined effect on cholesterol was examined using general linear model.
We combined temporal independent component analysis (ICA) with general linear modeling to test whether the strength of fronto-parietal activity correlated with VSTM performance on a trial-by-trial basis.
For both the logistic regression model and the general linear regression model, the final model combined data from the three populations adjusted for population.
The General Linear Model was used to evaluate the combined effect of the discrete and continuous factor variables introduced in the design.
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