Sentence examples for multiple regression identified from inspiring English sources

Multiple regression identified slope, runoff and agriculture as primary predictors of nitrate and phosphorus across the watershed, which suggests that both natural and anthropogenic landscape characteristics have a strong influence on nutrient levels in the Guare catchment.

Multiple regression identified temporal disintegration as the most significant predictor of depersonalization.

Previous studies using a multiple regression identified depression as a predictive variable of uni-dimansional fatigue in COPD [ 8, 30].

Stepwise multiple regression identified three important predictors of COMPASS total scores: ESSPRI (β=0.38, p<0.001), anxiety score (HAD-A) (β=0.23, p<0.001) and ESSDAI (β=0.13, p<0.009).

Multiple regression identified dietary intake (estimate of effect, 38%), serum CRP concentrations (estimate of effect, 34%) and stage of disease (estimate of effect, 28%) as independent variables in determining degree of weight loss.

However, we found that multiple regression identifies consistent correlation between disease phenotype or progression and both mitochondrial DNA heteroplasmy and deletion size.

Applying the false discovery rate to the results of the multiple regressions identifies uncorrected probabilities reported as ≤ 0.01 as satisfying α = 5%: values above this threshold are described as trends or tendencies (p < 0.05/α < 10%).

Multiple linear regression identified exercise capacity and BMI as significant predictors of BMD.

Multiple logistic regression identified predictors of freedom from an in-hospital event, and a Freedom-from-Event score was developed.

Multiple logistic regression identified the most influential factors for morbid obesity and depression.

Stepwise multiple logistic regression identified combination of variables with the best predictive ability.