Sentence examples for by stepwise multiple regression from inspiring English sources

By stepwise multiple regression analysis, Δvisceral adipose tissue area was the major determinant for ΔHOMA index.

By stepwise multiple regression analysis, only Δvisceral fat area was independently related to ΔDBP at a significant level (1 10 months: ΔDBP=−0.608+0.105Δvisceral fat area, r2=0.227, P=0.0334).

Influence of remnant forests and topographical variables on the spatial variability of rainfall were determined by stepwise multiple regression method.

The ratio of DER over actual administered dosage becomes practically constant when we correct DER using the independent variables, as indicated, by stepwise multiple regression analysis.

The correlations among significant soft tissue changes and independent variables comprising treatment modality, age, sex, pretreatment skeletal, dental and soft tissue morphology were evaluated by stepwise multiple regression analysis at a 0.05 significance level.

For evaluation of the factors influencing soft tissue profile changes, correlations among significant soft tissue changes and independent variables comprising age, sex, treatment modality, pretreatment skeletal, dental and soft tissue morphology (Fig. 3) were evaluated by stepwise multiple regression analysis at a 0.05 significance level.

The correlations among significant soft tissue changes and independent variables comprised of age, sex, treatment modalities, pretreatment dento-skeleton, and soft tissue morphology evaluated by the stepwise multiple regression analysis are presented in Table 2.

Higher levels of a transcript encoding a predicted fatty acyl CoA ligase (APPLE0F000019968) were associated with reduced fire blight susceptibility by the stepwise multiple regression analysis.

The linear regression analyses were followed by a stepwise multiple regression analysis using serum Gal-9 levels as the dependent variables to further analyze the significant predictors (Table  1).

The effects of care and protection scores of parents on relative telomere length were analyzed by the stepwise multiple regression analysis where the dependent variable was relative telomere length, and the independent variables were the PBI scores and age.

To this end, we used two models (see statistical analyses): model 1 included all variables listed in Table 1 and was therefore highly redundant; model 2 included, at each step, only variables selected by a stepwise multiple regression procedure (IFG: none; IGT: age; newly diagnosed diabetes: plasma glucose; 0 9 years: age and A1C; 10 19 years: age; ≥20 years: age and A1C).