Sentence examples for by using a multivariable from inspiring English sources

Then expressions to calculate the combustion parameters have been obtained by using a multivariable regression fitting method.

By using a multivariable nonlinear model predictive controller (NLMPC), the control experiments for the monomer conversion and the weight-average molecular weight are conducted in a continuous styrene polymerization reactor.

Results show that the proposed multilayer formulation, implemented by using a multivariable 1D finite element technique, enables to calculate interlaminar stresses and fracture energies in reasonable agreement with results obtained by using a continuum FE model, but with a significantly reduced computational cost.

The simulated results are then further processed by using a multivariable regression analysis on a group of dimensionless parameters as well as visualization with the scaling law on arcade structures to facilitate a design for arcade buildings that would enhance city breathability.

The data will be assessed by using a multivariable analysis.

Possible factors related to LTP were examined by using a multivariable logistic regression analysis.

In a series of more than 3,000 surgical patients, these authors showed by using a limited multivariable analysis that transfusions were associated with a worse outcome, but a more complete analysis cancelled out this statistical observation.

Adjustments for the risk of confounding bias in the three observational studies were done by propensity score using a multivariable logistic regression model.

Multivariable analysis by using a backwards elimination procedure (p <0.05) while controlling for age indicated that having a total of more than two wounds anywhere on the body while working in the pond remained independently associated with infection (ORadjusted=3.97, 95% CI 1.56 to 10.2), while wearing trousers or long skirts was protective (ORadjusted=0.23, 95% CI 0.067 to 0.701) (Table 2).

Final multivariable models were designed by using a saturated model including all potential risk factors and manual backwards elimination.

A multivariable model was constructed in which variables with a p value <0.25 and variables representing the various antimicrobial drugs were selected for inclusion, and the final multivariable model was constructed by using a backwards, stepwise approach.