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A single variable analysis demonstrated that unadjusted rate changes were more pronounced in PCTs which used incentives (1.08%, CI 0.48% to 1.68%) compared to those that had not (0.41%, CI 0.003% to 0.82%, Figure 1).
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When analyzed as continuous variable, the multivariate analysis demonstrated that a trend toward better RFS if the requirements of fentanyl equivalents were low intraoperatively (HR: 1.127, 95% CI: 0.99 1.12, P = 0.053) (Table 3B).
When massive necrosis and micronecrosis were separated as distinct variables, univariate survival analysis demonstrated an association between the presence of massive necrosis and shorter DFS (P<0.0001) and DSS (P<0.0001), and between the presence of micronecrosis and shorter DFS (P=0.004) and DSS (P=0.001) (Supplementary Table 2).
With CSI as a dependent variable, multiple stepwise regression analysis demonstrated an independent positive correlation between GA and CSI (standardized β = 0.184, P = 0.003), beyond gender, age, and lipid-lowering therapy, after adjustment for traditional risk factors of CAD, HbA1c, 1,5-AG, and GA.
Among several variables, the multiple regression analysis demonstrated that e-GFR was the most important factor to determine the extent of disturbance in the AVP-AMP-AQP2-axis, and thus the degree of deterioration in urine concentrating and diluting ability in chronic kidney disease.
Although we were unable to find a relationship between the two variables, this analysis demonstrates the amount of variance in the structure of Costa Rican forests (Figure 6A). Figure 6 The relationship between the components of forest structure for trees of different sizes.
Although we were unable to find a relationship between the two variables, this analysis demonstrates the amount of variance in the structure of Costa Rican forests.
Our genome-wide analysis demonstrated that variable genes are indeed required for biofilm formation and that the cell surface structures and envelope are important factors.
Multivariate analysis including all co-variables with a p < 0.20 in univariate analysis, demonstrated that five variables - number of sheep, number of goats, number of swine, average elevation and the percentage area occupied by grassland, were significantly associated with human brucellosis outbreaks (Table 1).
Univariate analysis demonstrated 14 variables relevant to distant recurrence, whereas multivariate analysis showed that anti-HCV, Child-Pugh class, platelet count, tumor size, tumor number, serum AFP level, and serum DCP level were significantly related to distant recurrence (Table 3).
A multivariate diseade-free survival analysis demonstrated that the variable of grade of high or low expression of GalNAc-T3 was independently associated with disease-free survival.
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