A: OLS regression coefficients for the regression of ln(cfPWV) onto AIx, MAP, FMD, and HR | |||||
Regression parameter | Parameter estimate | SE | Lower 95% CL | Upper 95% CL | |
β0 | 1.8677 | 0.4405 | 0.9693 | 2.7661 | |
β1 | 0.0018 | 0.003 | −0.0043 | 0.0079 | |
β2 | 0.0044 | 0.0038 | −0.0034 | 0.0122 | |
β3 | −0.0301 | 0.0144 | −0.0595 | −0.0007 | |
β4 | −0.0034 | 0.0027 | −0.0089 | 0.0021 | |
B: Type III ANOVA F-tests | |||||
Predictor variable | df | Partial sum of squares | Mean square error | F-statistic | P value |
AIx | 1 | 0.02 | 0.02 | 0.33 | 0.567 |
MAP | 1 | 0.07 | 0.07 | 1.34 | 0.256 |
FMD | 1 | 0.22 | 0.22 | 4.38 | 0.045 |
HR | 1 | 0.08 | 0.08 | 1.54 | 0.224 |
Total | 4 | 0.51 | 0.13 | 2.49 | 0.064 |
Error | 31 | 1.59 | 0.05 |
(A) presents OLS regression coefficients for the OLS regression model: E(ln(cfPWV)|X)=β0+β1(AIx)+β2(MAP)+β3(FMD)+β4(HR). (B) present type III ANOVA F-tests of the OLS analysis.
AIx, augmentation index; ANOVA, analysis of variance; cfPWV, carotid-femoral pulse wave velocity; FMD, flow-mediated dilation; MAP, mean arterial pressure; OLS, ordinary least squares.