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Classification results and contingency table for our logistic regression model (n = 5,176)
| logistic regression model | |||||
|---|---|---|---|---|---|
| Classification accuracy | 56.2% | ||||
| sensitivity | 63.5% | Prediction | |||
| specificity | 55.4% | No | yes | Sum | |
| neg. predictive value | 93.5% | no fall | 2596 | 2087 | 4684 |
| pos. predictive value | 13.0% | Fall | 180 | 313 | 493 |
| AUC | 0.63 | Sum | 2776 | 2400 | 5176 |
