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. Author manuscript; available in PMC: 2013 Nov 21.
Published in final edited form as: J Biom Biostat. 2012 Mar 23;3(2):5726. doi: 10.4172/2155-6180.1000137

Table 3.

Inference of the ROC curve by the semiparametric least squares based method (OLS), the ROC-GLM method (GLM) and the placement value method (PV). Cases and controls are drawn from normal distributions. (α01) = (1.2, 0.45), (nD, n) = (100, 100). Relative bias and sampling standard error from 500 simulations are shown. Relative bias = bias/true value × 100%.

Parameter True value OLS GLM PV
(a,b) = (0.0001, 0.9999)
α0 1.2 1.09(0.150) 1.46(0.152) 2.40(0.161)
α1 0.45 2.42(0.083) 1.38(0.080) 9.44(0.101)
R(0.2) 0.794 −0.14(0.040) 0.16(0.038) −0.53(0.040)
R(0.4) 0.861 −0.02(0.031) 0.12(0.031) 0.15(0.032)
R(0.7) 0.924 −0.02(0.023) −0.002(0.023) 0.38(0.024)
(a,b) = (0.0001,0.2)
α0 1.2 0.18(0.246) −1.79(0.235) 7.45(0.266)
α1 0.45 −0.62(0.141) −6.82(0.130) 14.04(0.159)
R(0.05) 0.677 0.11(0.051) 1.27(0.049) −1.00(0.051)
R(0.1) 0.733 −0.02(0.046) 0.51(0.046) 0.11(0.045)
R(0.15) 0.768 −0.13(0.046) 0.08(0.045) 0.61(0.045)