Further Cox regression analysis suggested that GNA13 expression was an independent prognostic factor for overall survival (P = 0.014) and disease-free survival (P = 0.005).
The regression analysis suggested that Pb and Cr were the most suitable indexes for assessing long-term NPS TN and TP pollution, respectively.
Furthermore, regression analysis suggested that structural-taxonomic attributes were closely associated with forest-related landscape patterns, but urbanization intensity dramatically influenced these associations.
The exploratory robust regression analysis suggested that changes in self-efficacy predicted residualized depression scores at the primary endpoint (R2 = 0.18, adjusted R2 = 0.15, β = −0.187 ± 0.073, Fig. 2c), such that increase in self-efficacy was associated with less depression severity (t30 = −2.551, p = 0.016).
Linear regression analysis suggested that 52, 93 and 40% of the variability in soil water recharge caused by residue treatments during successive winters, respectively, could be explained by differences in snow cover, soil water content and thaw depth among treatments.
Partial correlation and regression analysis suggested that the development of post-yield strain was a function of the amount of microcracking incurred (the cause), rather than being a direct result of the strain rate (the excitation).
Results from the regression analysis suggested that response was associated with an increase of 0.2366 in EQ-5D index score and that nVNS therapy (regardless of response) was associated with an increase of 0.01246 in EQ-5D index score.
Linear regression analysis suggested a strong correlation between hyperglycaemia > 6.5 mml/L and ISS (P = 0.038) with a larger effect on ISS at a hyperglycaemia cut-off > 7.8 (P = 0.021).
In particular, the linear regression analysis suggested a significant positive correlation between N2O fluxes and nirK-nosZ value (r 2 = 0.80, p < 0.001) in the both pile types (Fig. 6b), which could also serve as a good predictor in regression model for stimulating N2O emissions from windrow composting systems.
Results from binary logistic regression analysis suggested no significant effect of several clinical parameters in predicting a positive outcome to treatment, although certain conditions, such as chronic migraine, were linked to an increased likelihood of developing an effect from the injection.
After being adjusted by time, the regression analysis suggested that for assessment within 2 months, the mean differences in VAS for PRP and AB showed that the VAS was lower than for steroid injection, but these were not significantly different (as seen in Table 4; Fig. 2a).
