Table 4.

AUC, MSE and Brier score for simulations based on ViraHepC data with new marker IFNL4 with P(Y ) = 0.1 based on n_cases = n_controls = 250.

	Overall			Sex				AST/ALT ratio				IFNL4
Methods				Male		Female		< median		≥ median		∆G/∆G or ∆G/TT		TT/TT
	AUC (se)	MSE (se)	BS(se)	MSE	BS	MSE	BS	MSE	BS	MSE	BS	MSE	BS	MSE	BS
Logistic new	0.723 (0.000142)	0.0019 (0.000016)	0.086 (0.000026)	0.0015	0.076	0.0028	0.105	0.0025	0.112	0.0014	0.061	0.0009	0.061	0.0046	0.152
LR-joint	0.726 (0.000099)	0.0015 (0.000007)	0.086 (0.000023)	0.0012	0.076	0.0020	0.104	0.0019	0.111	0.0011	0.060	0.0007	0.060	0.0036	0.151
LR-separate	0.721 (0.000164)	0.0020 (0.000020)	0.086 (0.000029)	0.0016	0.076	0.0028	0.105	0.0025	0.112	0.0016	0.061	0.0008	0.061	0.0051	0.152
LR-ind	0.725 (0.000088)	0.0028 (0.000029)	0.087 (0.000036)	0.0021	0.077	0.0040	0.106	0.0040	0.113	0.0015	0.061	0.0008	0.061	0.0077	0.155
LR-offset	0.724 (0.000110)	0.0018 (0.000011)	0.086 (0.000024)	0.0015	0.076	0.0024	0.105	0.0024	0.112	0.0012	0.061	0.0009	0.061	0.0042	0.151
LR-shrink	0.724 (0.000110)	0.0018 (0.000011)	0.086 (0.000024)	0.0015	0.076	0.0024	0.105	0.0024	0.112	0.0012	0.061	0.0009	0.061	0.0042	0.151
CML	0.726 (0.000100)	0.0015 (0.000006)	0.086 (0.000023)	0.0012	0.076	0.0019	0.104	0.0018	0.111	0.0011	0.060	0.0007	0.060	0.0034	0.151