Table 2.

Inference of the ROC curve by the semiparametric least squares based method (OLS) with different choices of the false positive sets (OFP: observed false positive fraction, EF: equal fraction or MP: midpoint method). Cases and controls are drawn from normal distributions. (α₀, α₁) = (1.2, 0.45). n_D, n_D̄ = (100, 100). Sample means and sampling standard errors from 1000 simulations are shown.

Parameter	True value	OFP	EF	MP
Percent of ties: 0%
(a,b) = (0.0001, 0.9999)
R(0.2)	0.794	0.791(0.039)	0.792(0.039)	0.795(0.038)
R(0.4)	0.861	0.860(0.031)	0.860(0.031)	0.862(0.031)
R(0.7)	0.924	0.923(0.024)	0.923(0.024)	0.924(0.024)
AUC	0.863	0.861(0.027)	0.861(0.027)	0.863(0.027)
(a,b)= (0.0001,0.2)
R(0.1)	0.733	0.727(0.049)	0.729(0.048)	0.733(0.048)
pAUC(0.2)	0.142	0.141(0.010)	0.141(0.010)	0.142(0.010)
Percent of ties:20%
(a,b) = (0.0001, 0.9999)
R(0.2)	0.794	0.794(0.043)	0.805(0.041)	0.798(0.042)
R(0.4)	0.861	0.862(0.034)	0.879(0.031)	0.864(0.034)
R(0.7)	0.924	0.924(0.026)	0.942(0.022)	0.926(0.025)
AUC	0.863	0.863(0.030)	0.875(0.027)	0.865(0.030)
(a,b) = (0.0001,0.2)
R(0.1)	0.733	0.728(0.053)	0.739(0.051)	0.734(0.053)
pAUC(0.2)	0.142	0.141(0.011)	0.143(0.010)	0.143(0.011)