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For the detection task, we ran two additional repeated measures linear regression GEE models to explore the effect of the predictor variables on signal detection estimates d' and c.
As in Experiment 1, for the detection task, we also ran two repeated measures linear regression GEE models to explore the effect of the predictor variables on signal-detection estimates d' and c.
Resistance, self-propulsion and flow visualization measurements were performed with the hull models to explore the effect of partial wake equalizing ducts on the powering characteristics of the hull form.
Adjusted OR used logistic regression models to explore the effect of independent variables on the dependent variable in the model.
On the basis of these findings, we used two types of PHG mouse models to explore the effect of PUMA on PHG, which were PVL- and CCl4-induced PHG in mice.
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Following this experimental design, we tested six Generalized Estimating Equation (GEE) models to explore the effects of these variables.
We used linear mixed models to explore the effects of metformin on concentrations of vitamin B-12, folate, and homocysteine.
We construct whole‐body molecular‐detailed PK models to explore the effects of drug‐target binding and drug elimination routes.
We therefore extended the model to explore the effect of incomplete penetrance.
We used this model to explore the effect of high level of Aurora-A expression on PARP inhibitor sensitivity.
Furthermore, we exploit the reduced dimensionality of our new model to explore the effects of coupling in larger, heterogeneous systems.
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