Data are presented as correlation coefficient (P-value) Multivariate stepwise linear regression analysis was then carried out to determine the factors associated with the CURB-65 score and PSI in both groups.
*p value <0.05, percentages do not add to 100% due to missing values Multivariate analysis of selected variables and herbals and multivitamins/folic acid use among breast cancer survivors are presented in Table 3.
Using the Mahalanobis distance values, multivariate outliers can be identified using the χ 2 distribution.
Table 5 summarizes the information in Table 3 and Table 4 and Table 7 summarizes the information in Table 6, reporting the variables with a P-value multivariate <.05.
Actual patient data was preferred over interpolated values; multivariate models constructed using the later showing no appreciable effect on the model specification or statistical inference.
Because of the skewed distribution of CAC values, multivariate logistic regression analyses were employed to examine the association of depressive symptoms episodes with the presence of detectable CAC (Agatston score > 0) and high CAC (Agatston score ≥ 100).
Multivariate P values are the P values when all of the terms are included in the model.
Consequently, the value of multivariate regression analysis was limited.
BST2 showed significance with marginal p value in multivariate analysis.
The mast cell count was evaluated for prognostic value by multivariate analysis.
None of the factors analyzed showed significant predictive value on multivariate analysis.
