Progressive increase of multiple entropy r2 value and decrease of AIC with the incremental protocola
| Logistic Regression Model | GEEs Method | |||||
|---|---|---|---|---|---|---|
| r2 | AIC | P Value | Odds Ratio (95% CI) | AIC | P Value | |
| NCCT | ||||||
| Model fit statistics | 0.015 | 451.1 | 451.3 | |||
| Observed diagnosis (yes vs no) | .28 | 1.68 (0.65–4.41) | .29 | |||
| Observed confidence score | .90 | 1.03 (0.67–1.58) | .90 | |||
| NCCT + CTA-SI | ||||||
| Model fit statistics | 0.170 | 409.2 | 408.7 | |||
| Observed diagnosis (yes vs no) | .59 | 0.78 (0.31–1.94) | .57 | |||
| Observed confidence score | <.001b | 0.46 (0.31–0.68) | <.001b | |||
| NCCT + CTA-SI + CTP | ||||||
| Model fit statistics | 0.329 | 357.3 | 357.1 | |||
| Observed diagnosis (yes vs no) | .04b | 0.33 (0.11–0.95) | .05 | |||
| Observed confidence score | <.001b | 0.30 (0.20–0.44) | <.001b | |||
Note:—GEEs indicates generalized estimating equations.
↵a With logistic regression analysis and the GEEs method, the actual stroke diagnosis was modelled on different observed diagnoses (NCCT alone, NCCT + CTA-SI, NCCT + CTA-SI + CTP) when adjusting for the corresponding confidence score. OR < 1 indicates that patients with a positive diagnosis on MRI are more likely to have a lower level of confidence (1 = definitely present, 2 = probably present, 3 = possibly present, 4 = possibly absent, 5 = probably absent, 6 = definitely absent).
↵b Statistically significant.