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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.
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This paper applies multivariable linear quadratic Gaussian (LQG) control strategies to a proton exchange membrane fuel cell (PEMFC) system.
18 To account for confounding variables we applied multivariable linear regression.
Second, we applied multivariable linear regression models to adjust for the confounding potential of parental educational attainment, household income, and year of data collection (referred to as Model 1).
We applied multivariable linear regression analyses with three models to examine the relationship of log2 GGT and baPWV, and confirmed the solidity of the results independent of the selection of covariates.
We further applied multivariable linear regression models to compare average SF-36 health summary scale change scores (change score = follow-up score - baseline score) between herbal remedy users and non-users.
Then, specific effects were tested by applying appropriate linear contrasts.
To investigate the influence of clinical and treatment variables on survival, we applied multivariable excess hazard modelling based on generalised linear models with Poisson error.
To investigate the influence of clinical and treatment variables on survival, we applied multivariable excess hazard modelling based on generalised linear model with Poisson error (Dickman et al, 2004).
The data was analysed by applying linear model methods [ 54].
Also, the authors evaluated potential risk factors among these patients by applying a multivariable logistic regression model.
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