Table 4.

The accuracy of the best Generalized Linear Mixed-Effects Models (GLMM) for predicting ulcer nodes (600 points). Sensitivity of prediction is defined as the proportion of the true positive-outcomes that are predicted to be positive. Specificity of prediction is defined as the proportion of the true negative-outcomes that are correctly predicted to be negative (Garrett et al., 2004).

Probability threshold	PWS (plaque wall stress)			PWSn (plaque wall strain)			FSS (flow shear stress)
	Sensitivity	Specificity	Sum	Sensitivity	Specificity	Sum	Sensitivity	Specificity	Sum
0.5	0.727	0.982	1.709	0.485	0.984	1.469	0.273	0.986	1.259
0.3	0.788	0.968	1.756	0.515	0.968	1.483	0.758	0.928	1.686
0.2	0.818	0.958	1.776	0.606	0.963	1.569	0.939	0.903	1.842
	PWS + FSS			PWSn + FSS			PWS + PWSn
0.5	0.909	0.94	1.849	0.939	0.928	1.867	0.909	0.977	1.886
0.3	0.939	0.933	1.872	0.939	0.921	1.86	0.97	0.958	1.928
0.2	0.939	0.928	1.867	0.939	0.908	1.847	0.97	0.944	1.914
				PWS + PWSn+ FSS
0.5				0.939	0.905	1.844
0.3				0.939	0.903	1.842
0.2				0.939	0.898	1.837