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. 2016 Sep 20;4:e2442. doi: 10.7717/peerj.2442

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