Table 3.
Intra-class Correlations (95% CI) Between Measured and Predicted Symptom Ratings Obtained with Regression-Based Conversion Equations
Predicted Symptom Rating | ICC (95% CI) N=29 |
---|---|
SAPS [composite] Total predicted by PANSS Positive* | 0.65 (0.37 - 0.82) |
SAPS [global] Summary predicted by PANSS Positive | 0.72 (0.48 - 0.86) |
SAPS [global] Summary predicted by SAPS [composite] Total score | 0.68 (0.43 - 0.84) |
PANSS Positive predicted by Marder Positive | 0.97 (0.93 - 0.99) |
SAPS [composite] Total predicted by Marder Positive | 0.65 (0.37 - 0.82) |
SAPS [global] Summary predicted by Marder Positive | 0.66 (0.39 - 0.82) |
| |
SANS [global] Summary predicted by SANS [composite] Total score | 0.91 (0.82 - 0.96) |
SANS [composite] Total predicted by PANSS Negative | 0.82 (0.66 - 0.91) |
SANS [global] Summary predicted by PANSS Negative | 0.78 (0.58 - 0.89) |
PANSS Negative predicted by Marder Negative | 0.92 (0.84 - 0.96) |
SANS [composite] Total predicted by Marder Negative | 0.66 (0.40 - 0.82) |
SANS [global] Summary predicted by Marder Negative | 0.79 (0.61 -0.90) |
Note that the ICCs for the vice versa predictions (e.g., PANSS Positive predicted by SAPS [composite] Total are equivalent.