| | ANCOVA | An unstructured variance-covariance structure was used. | 0.0005 | | Geometric Mean Ratios | 0.91 | | | 2-Sided | 90 | 0.87 | 0.95 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.0005 | | Geometric Mean Ratios | 0.89 | | | 2-Sided | 90 | 0.84 | 0.94 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.0062 | | Geometric Mean Ratios | 0.91 | | | 2-Sided | 90 | 0.86 | 0.96 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.1214 | | Geometric Mean Ratios | 0.94 | | | 2-Sided | 90 | 0.89 | 1.00 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.0043 | | Geometric Mean Ratios | 0.90 | | | 2-Sided | 90 | 0.84 | 0.95 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.2615 | | Geometric Mean Ratios | 0.95 | | | 2-Sided | 90 | 0.89 | 1.02 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| HDL Cholesterol: Day 112 (EOS) | ANCOVA | An unstructured variance-covariance structure was used. | 0.1331 | | Geometric Mean Ratios | 0.94 | | | 2-Sided | 90 | 0.88 | 1.01 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | <.0001 | | Geometric Mean Ratios | 0.85 | | | 2-Sided | 90 | 0.81 | 0.89 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.0001 | | Geometric Mean Ratios | 0.88 | | | 2-Sided | 90 | 0.83 | 0.93 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | <.0001 | | Geometric Mean Ratios | 0.83 | | | 2-Sided | 90 | 0.79 | 0.88 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.0002 | | Geometric Mean Ratios | 0.86 | | | 2-Sided | 90 | 0.81 | 0.92 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | <.0001 | | Geometric Mean Ratios | 0.82 | | | 2-Sided | 90 | 0.77 | 0.88 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.0002 | | Geometric Mean Ratios | 0.84 | | | 2-Sided | 90 | 0.78 | 0.90 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| HDL Cholesterol: Day 112 (EOS) | ANCOVA | An unstructured variance-covariance structure was used. | 0.2280 | | Geometric Mean Ratios | 0.95 | | | 2-Sided | 90 | 0.89 | 1.02 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.0090 | | Geometric Mean Ratios | 0.93 | | | 2-Sided | 90 | 0.89 | 0.97 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.6237 | | Geometric Mean Ratios | 0.98 | | | 2-Sided | 90 | 0.93 | 1.04 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.0080 | | Geometric Mean Ratios | 0.91 | | | 2-Sided | 90 | 0.87 | 0.97 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.0105 | | Geometric Mean Ratios | 0.91 | | | 2-Sided | 90 | 0.86 | 0.97 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.0217 | | Geometric Mean Ratios | 0.92 | | | 2-Sided | 90 | 0.86 | 0.98 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| | ANCOVA | An unstructured variance-covariance structure was used. | 0.0031 | | Geometric Mean Ratios | 0.88 | | | 2-Sided | 90 | 0.82 | 0.94 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| HDL Cholesterol: Day 112 (EOS) | ANCOVA | An unstructured variance-covariance structure was used. | 0.7740 | | Geometric Mean Ratios | 1.01 | | | 2-Sided | 90 | 0.95 | 1.07 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 7 | ANCOVA | An unstructured variance-covariance structure was used. | 0.1783 | | Geometric Mean Ratios | 0.95 | | | 2-Sided | 90 | 0.89 | 1.01 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 14 | ANCOVA | An unstructured variance-covariance structure was used. | 0.0219 | | Geometric Mean Ratios | 0.91 | | | 2-Sided | 90 | 0.84 | 0.97 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 28 | ANCOVA | An unstructured variance-covariance structure was used. | 0.0719 | | Geometric Mean Ratios | 0.92 | | | 2-Sided | 90 | 0.85 | 0.99 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 42 | ANCOVA | An unstructured variance-covariance structure was used. | 0.2199 | | Geometric Mean Ratios | 0.93 | | | 2-Sided | 90 | 0.85 | 1.02 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 56 | ANCOVA | An unstructured variance-covariance structure was used. | 0.4928 | | Geometric Mean Ratios | 0.96 | | | 2-Sided | 90 | 0.87 | 1.06 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 84 | ANCOVA | An unstructured variance-covariance structure was used. | 0.3419 | | Geometric Mean Ratios | 0.94 | | | 2-Sided | 90 | 0.85 | 1.05 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 112 (EOS) | ANCOVA | An unstructured variance-covariance structure was used. | 0.7281 | | Geometric Mean Ratios | 0.98 | | | 2-Sided | 90 | 0.88 | 1.09 | | | | | Other | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 7 | ANCOVA | An unstructured variance-covariance structure was used. | 0.3180 | | Geometric Mean Ratios | 1.04 | | | 2-Sided | 90 | 0.97 | 1.12 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 14 | ANCOVA | An unstructured variance-covariance structure was used. | 0.6576 | | Geometric Mean Ratios | 1.02 | | | 2-Sided | 90 | 0.95 | 1.10 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 28 | ANCOVA | An unstructured variance-covariance structure was used. | 0.6035 | | Geometric Mean Ratios | 0.97 | | | 2-Sided | 90 | 0.90 | 1.06 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 42 | ANCOVA | An unstructured variance-covariance structure was used. | 0.3261 | | Geometric Mean Ratios | 1.06 | | | 2-Sided | 90 | 0.96 | 1.17 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 56 | ANCOVA | An unstructured variance-covariance structure was used. | 0.5246 | | Geometric Mean Ratios | 1.04 | | | 2-Sided | 90 | 0.94 | 1.15 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 84 | ANCOVA | An unstructured variance-covariance structure was used. | 0.7519 | | Geometric Mean Ratios | 1.02 | | | 2-Sided | 90 | 0.92 | 1.14 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 112 (EOS) | ANCOVA | An unstructured variance-covariance structure was used. | 0.9577 | | Geometric Mean Ratios | 1.00 | | | 2-Sided | 90 | 0.89 | 1.12 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 7 | ANCOVA | An unstructured variance-covariance structure was used. | 0.0160 | | Geometric Mean Ratios | 1.10 | | | 2-Sided | 90 | 1.03 | 1.18 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 14 | ANCOVA | An unstructured variance-covariance structure was used. | 0.0052 | | Geometric Mean Ratios | 1.13 | | | 2-Sided | 90 | 1.05 | 1.21 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 28 | ANCOVA | An unstructured variance-covariance structure was used. | 0.1822 | | Geometric Mean Ratios | 1.06 | | | 2-Sided | 90 | 0.99 | 1.15 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 42 | ANCOVA | An unstructured variance-covariance structure was used. | 0.0159 | | Geometric Mean Ratios | 1.14 | | | 2-Sided | 90 | 1.04 | 1.24 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 56 | ANCOVA | An unstructured variance-covariance structure was used. | 0.1524 | | Geometric Mean Ratios | 1.08 | | | 2-Sided | 90 | 0.99 | 1.19 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 84 | ANCOVA | An unstructured variance-covariance structure was used. | 0.1749 | | Geometric Mean Ratios | 1.08 | | | 2-Sided | 90 | 0.98 | 1.20 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |
| LDL Cholesterol Friedwald: Day 112 (EOS) | ANCOVA | An unstructured variance-covariance structure was used. | 0.7503 | | Geometric Mean Ratios | 1.02 | | | 2-Sided | 90 | 0.92 | 1.13 | | | | | Superiority | Log transformed ratio to baseline was analyzed using a repeated measures model which included effects for treatment, visit, treatment by visit interaction, stratification factor (BMI group), log-transformed baseline and log-transformed baseline by visit interaction. BMI was separated into two groups low BMI (Asian<30 and Non-Asian<35) and high BMI (Asian >=30 and Non-Asian>=35). | |