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)

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). (nD, nD) = (100, 100). Sample means and sampling standard errors from 1000 simulations are shown.