Multivariate analysis was utilized to determine predictive factors for utilization of ORIF.
Multivariate analysis was utilized to adjust variable confounding factors in order to identify the association between acid-suppressive agents and TB infection/activation.
Spearman's rank correlation coefficient and multivariate analysis were utilized to rule out potential confounding of strain (rate) values by differing baseline characteristics.
Next, we examined if each of the four parameters identified by CART analyses were also significant when standard parametric multivariate analysis was utilized, with time-to-death as an outcome.
In order to make sure the predictors chosen by CART were indeed correct and not due to instability, standard parametric multivariate analysis was utilized to examine the CART-derived predictors and thresholds, which were all found to be statistically significant.
The developed model is compared to a multivariate linear regression analysis conducted on the raw data, and a sensitivity analysis utilizing the trained network connection weights is conducted to determine which factor has the greatest effect on surface heave development.
Analysis utilizes Medicare reimbursement.
Nevertheless, we have utilized multivariate analysis to adjust for duration of education and other variables to minimize this confounding factor.
In prospective studies in the native PRB that utilize multivariate analysis, clinical factors such as age, female gender and elevated blood pressure have been associated with increased risk of complication [ 18– 20].
To identify whether there was a significant gender difference in the needs of using e-textbooks, multivariate analysis of variance (MANOVA) was utilized (Table 4).
