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A further strength is the use of multivariable modelling techniques to adjust for the effects of other variables and test for independence of associations, something that has not always been done in previous studies of this nature [ 5].
In order to examine the combined effects of breed, gender and age, multivariable modelling techniques are useful.
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Multivariable modeling techniques are appearing in today's medical literature with increasing frequency.
We used non-spatial modelling techniques.
It is a multivariable test technique using plant-friendly and optimal amplitude binary multi-frequency signals, in conjunction with multivariable parametric modeling techniques, to achieve significant time savings in plant testing by comparison with traditional step testing and even other multivariable testing methods in the literature.
A staged modelling technique was employed in the multivariable modelling.
We used data from the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study to study if SNPs in cytochrome P450 2B6 (CYP2B6) gene, encoding the only enzyme in the CYP2B subfamily that is expressed in the liver in humans, were related to circulating concentrations of BDE-47 in men and women by applying multivariable linear regression model techniques.
This paper presents an advanced centralized multivariable model predictive control (MPC) technique, which considers energy and environmental constraints, to address the controllability of a post-combustion CO2 capture process from a coal-based power plant.
Finally, in our effort to better understand our dataset we employed well accepted but complex techniques of multivariable modeling which themselves can introduce opportunities for error or misinterpretation.
Scale examination of continuous predictor variables was done using the quartile analysis technique in the multivariable model [ 41].
The paper also presents a detailed study of well-developed multivariable model reference adaptive control theory and design techniques.
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