Table 4. Multivariate models and EDSS progression.
Linear model | |||
---|---|---|---|
R2 = 0.29 | |||
Variables | Coeff | se | p-value |
Intercept | 0.723 | 0.149 | <0.001 |
Treatment “yes” | 0.433 | 0.202 | 0.035 |
Baseline EDSS | −0.370 | 0.071 | <0.001 |
Change total grey matter volume | 0.129 | 0.419 | 0.003 |
Logit model | |||
Area under the curve | 0.82 | ||
Specificity % | 72.6 | ||
Sensitivity % | 85.0 | ||
NPV % | 93.8 | ||
PPV % | 50.0 | ||
Variables | OR | 95% CI | p-value |
Intercept | 0.43 | 0.17–1.03 | 0.068 |
Treatment “yes” | 2.96 | 0.77–13.54 | 0.132 |
Baseline EDSS | 0.52 | 0.29–0.85 | 0.004 |
Change cortex volume | 0.71 | 0.55–0.87 | 0.016 |
Notes.
Multivariate models investigating the predictive value of clinical and MRI measurements for EDSS progression. Details see methods and results.
Data presented as mean (sd) if not indicated otherwise.
TITLE
- Coeff
- coefficient estimate
- se
- standard error of Coeff
- NPV
- Negative Predictive Value
- PPV
- Positive Predictive Value
- OR
- Odds ratio
- 95% CI
- 95% Confidence Interval