Table 4.
Logistic regression fatigue responder predictor models and validation model fit statistics
| Model/Parameters | Estimate (SE) | Fit Statistics for Validation Data |
|
|---|---|---|---|
| AIC | AUC (95% CI) | ||
| Model with SF-36 MCS score | |||
| Intercept | −3.12 (1.02) | 230.25 | 0.64 (0.55, 0.73) |
| Married/with partner (vs single/widow/divorce) | 1.34 (0.51) | ||
| Initial TENS response for fatigue (“decreased”) | 1.88 (0.50) | ||
| SF-36 MCS score | 0.04 (0.02) | ||
| Model with PROMIS sleep impairment | |||
| Intercept | 1.24 (2.20) | 221.87 | 0.67 (0.58, 0.75) |
| Married/with partner (vs single/widow/divorce) | 1.32 (0.50) | ||
| Initial TENS response for fatigue (“decreased”) | 1.78 (0.50) | ||
| PROMIS sleep impairment | −0.05 (0.03) | ||
| Model with marital status and initial TENS response for fatigue | |||
| Intercept | −1.76 (0.46) | 218.47 | 0.66 (0.58, 0.75) |
| Married/with partner (vs single/widow/divorce) | 1.39 (0.50) | ||
| Initial TENS response for fatigue (“decreased”) | 1.85 (0.50) | ||