A Pearson correlation analysis was then performed on all variables to detect any multicollinearity. In cases where two variables are found to be highly correlated, the more significant one was used to prevent redundancy. Finally, the models were estimated using the SURE function, which is available...
The predicted volumes of ATS and ATI were correlated with the FIV using Pearson’s correlation. Wilcoxon tests were performed to compare the following characteristics between both groups: age, male sex, NIHSS core, number of patients who underwent periinterventional thrombolysis, time interval between ...
As the time slice increases forward, its Pearson correlation coefficient also continues to decrease. 𝑇1−𝑇3T1−T3 have a strong positive correlation and the correlation coefficient of 𝑇1T1, 𝑇2T2, and the average speed of the current section exceed 0.8, which means the correlation ...
The Pearson correlation coefficient rcorr(i) can be used as a means for rating the resemblance between m and f i, as proposed in [62]. The absolute signal strength does not affect these values, since only the shape of the curves is considered. rcorr(i) = cov( f i, m) var( f i...
According to the Neyman–Pearson criterion, the threshold value 𝑆𝑆𝐸𝑡ℎSSEth is set to determine the detection probability 𝑃𝑓𝑎Pfa under a specific false alarm probability 𝑃𝐷PD: ⎧⎩⎨ 𝑃𝑓𝑎=𝑃{𝑆𝑆𝐸>𝑆𝑆𝐸𝑡ℎ∣𝐻0}=1−∫𝑆𝑆𝐸...