Sentence examples for backward linear regression analysis from inspiring English sources

Stepwise backward linear regression analysis was used to identify independent predictors for circulating EPCs and baPWV.

A backward linear regression analysis was used to test if pre knowledge and pre comfort could explain post knowledge scores.

Moreover, in a backward linear regression analysis this correlation was independently associated with APACHE IV scores and the presence of infection, but not with the type of admission.

Secondly, we conducted a backward linear regression analysis to examine which social-psychological factors were most dominantly associated with vaccination intention.

A multiple backward linear regression analysis was done with characteristics that were associated (p < 0.20) with the costs of the demand of care in a univariable analysis.

After exploration of the association between the various characteristics and the costs of the demand for care in a univariable analysis, significant predictive characteristics were detected in a multiple backward linear regression analysis.

Backward multiple linear regression analysis revealed tree density, tree height, tree DBH, height-diameter ratio (H/D) and tree species richness as influential factors of carbon variation in fragmented forests.

With stepwise backward multivariable linear regression analysis we identified baseline predictors for change in MIF levels after treatment.

A backward stepwise linear regression analysis was used to identify factors that significantly relate to post-exercise cTnI-levels.

Backward multiple linear regression analysis revealed urinary adiponectin concentration to be a significant determinant of mean brachial-ankle pulse wave velocity (baPWV).

Stepwise backward multivariable linear regression analysis was used to identify possible baseline predictors of change in MIF levels at weeks 16 and 52.