Table 3.

Discrimination statistics (AUC statistics) for five multi-predictor models for the suicide attempt/ intentional self-harm outcome in the training and the testing sample.

	Training Sample, n = 166,489					Testing Sample, n = 82,002
Model	Area	Standard Error	(95% CI)			Area	Standard Error	(95% CI)
Model1	0.66	0.01	(0.6524	–	0.672)	0.65	0.01	(0.6391	–	0.6679)
Model2	0.74	0.00	(0.7276	–	0.7466)	0.74	0.01	(0.7227	–	0.7498)
Model3	0.75	0.00	(0.7453	–	0.7643)	0.75	0.01	(0.7409	–	0.7679)
Model4	0.86	0.00	(0.8506	–	0.8666)	0.86	0.01	(0.8505	–	0.8728)
Model5	0.86	0.00	(0.853	–	0.8689)	0.86	0.01	(0.8533	–	0.8755)
Contrast
Model2 - Model1	0.07	0.00	(0.0657	–	0.0842)	0.08	0.01	(0.0683	–	0.0972)
Model3 - Model1	0.09	0.00	(0.0833	–	0.102)	0.10	0.01	(0.0864	–	0.1153)
Model4 - Model1	0.20	0.01	(0.1861	–	0.2068)	0.21	0.01	(0.1925	–	0.2239)
Model5 - Model1	0.20	0.01	(0.1885	–	0.2091)	0.21	0.01	(0.1952	–	0.2265)