Table 2. Within-method and between-method interdependence of parameter estimates.

		Model				Spline
		λ	μ	A	AUC	λ	μ	A	AUC
Model	λ		0.428	0.367	0.294	0.641	0.360	0.371	0.295
	μ	0.248		0.536	0.732	0.296	0.846	0.717	0.734
	A	0.362	0.320		0.7	0.324	0.538	0.748	0.700
	AUC	0.372	0.712	0.522		0.205	0.721	0.843	0.998
Spline	λ	0.571	0.131	0.225	0.211		0.299	0.285	0.203
	μ	0.940	0.837	0.272	0.620	0.025		0.723	0.736
	A	0.437	0.658	0.571	0.963	0.051	0.584		0.854
	AUC	0.372	0.713	0.523	0.999	0.046	0.621	0.963

All-against-all correlations measured using Kendall's τ (above the diagonal) and Spearman's correlation index (below the diagonal) describe how the different curve parameters estimated using either model fitting or spline fit are associated with each other and with the corresponding parameters from the alternative fitting approach.