Sentence examples for stepwise analysis of the from inspiring English sources

A stepwise analysis of the indicated crash dynamics and an evaluation of all the injuries revealed at autopsy, the study proposed, when possible, injury aetiology for each case and the related responsibility assignments and exclusions.

In general, this study comprised a stepwise analysis of the impact of WWTPs on three biological pollutants: bacteria, antibiotics, and antimicrobial resistance determinants, where our results suggest that the design of WWTPs needs to be improved to address the threats due to these pollutants.

A less time consuming and more efficient algorithm is a stepwise analysis of the angular sector, ordered according to the observed θ ij.

Univariable and multivariable analyses (stepwise analysis) of the factors influencing RFS are presented in Table 4. Univariable analyses demonstrated that pT stage, pN stage, TNM stage, Fuhrman grade, pRCC type, tumor necrosis, neutrophilia, and high NLR were significant predictors of RFS.

Similarly, the same stepwise analysis of ER-positive breast cancer in the two individual samples also revealed two independent associations at rs741581 (P = 0.172) and rs2340621 (P = 0.036) in the Swedish sample and at rs741581 (P = 0.023) and rs6895698 (P = 0.053) in the Finnish sample.

A stepwise analysis of GA metabolism revealed the conversion of GA12-aldehyde to bioactive GA4 and inactive GA34 [ 77].

The gating strategy and stepwise analysis of antibody reactions are presented in the Results section.

We conducted a stepwise analysis of each factor as our aim was to compare the CA teaching methods.

Smoking by participant was not significant in either the univariate or the multivariate analysis, in the stepwise analysis; the inclusion of smoking by participant did not have an effect on the final model and was therefore left out.

At the conclusion of the stepwise analysis, we visualized the effects of single independent variables (water parameters) on individual response variables (averaged for each spring) using simple linear regression.

To determine the best meteorological predictors for the air quality data, a stepwise regression analysis of the filtered time-series was applied.