Sentence examples for multivariate regression approach from inspiring English sources

In a multivariate regression approach e-waste related activities had no positive influence on internal PCB exposure, but rather the time living in Accra.

We used a multivariate regression approach to relate near-ground temperature of 203 loggers over the snow-free seasons in an area of ∼16,000 km2 to remotely sensed and on-site measured variables of forest structure and physiography.

Previously, we used a quantitative multivariate regression approach to analyze relationships between chemical structures and image features [24, 28].

The extent to which the two building blocks of the styryl molecules were associated with the various measured image features was calculated using a multivariate regression approach [29].

We used a multivariate regression approach, the Inferelator [31], to infer predictive models based on the transcriptomic dataset.

Each submodel then becomes a response matrix in a multivariate regression approach (e.g. RDA) with environmental variables as predictors.

We demonstrated the ability to link the different chemical building blocks of small molecule bioimaging probes to the resulting staining patterns by applying multivariate regression approaches [24, 28, 29].

Confounding was assessed by a multivariate logistic regression approach; all variables with a p-value ≤0.15 in the univariate analysis were included in the multivariate model and retained in the final model according to a log-likelihood-ratio test for goodness-of-fit.

This study presents the use of multivariate regression modeling approach to monitor the quality of the final product using cavity sensor technology (CST).

This approach is important for the analyses described herein, because different types and a broad spectrum of variables were analyzed for the current study and, thus, a single multivariate regression model approach would be impossible.

An additional finding of the present study was the significant association of the baseline combination of FNr and NIHSS with the UE-FM score at the chronic phase, based on multivariate LASSO regression approach.