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A new polymer flow-cell for chemiluminescence detection (CLD) has been designed and developed by diverging multiple linear channels from a common centre port in a radial arrangement.
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Missing values were replaced by cells calculated by multiple linear regressions (MLR).
These retention times were modelled by stepwise multiple linear regressions.
Also, by using multiple linear regression modelling we assessed for the brain-to-brain entrainment not mediated by the speech-to-brain entrainment.
The data were analyzed by hierarchical multiple linear regression.
In this study, this was also solved by using multiple linear regressions with heterogeneous residual variances.
Multivariate determinants of log-transformed progenitor cell counts were identified by stepwise multiple linear regression analysis.
Associations were assessed by adjusted multiple linear regression and logistic regression analyses.
Both by multiple linear regression and by multiple logistic regression HPV type was only weakly associated with metrics of disease course when simultaneously accounting for age.
The model was successfully fitted by multiple linear regressions.
These correlations were obtained by multiple linear regression.
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