Table 1.

Evaluation of biomarkers in predicting 2-year liver cancer incidence in Halt-C study. Shown below are TIPW and AIPW estimates along with their corresponding standard errors shown in parenthesis. The log-hazard ratios and accuracy parameters were estimated for 2-year risks estimated based on both (i) the full model with logAFP + logDCP; and (ii) the reduced model with logAFP alone. Also presented are the TIPW and AIPW estimates for IncV parameters of logDCP above and beyond logAFP.

	logAFP + logDCP		logAFP		IncV of logDCP
Parameters	TIPW (SE)	AIPW (SE)	TIPW (SE)	AIPW (SE)	TIPW (SE)	AIPW (SE)
β1	.614 (.221)	.822 (.177)	.542 (.206)	.771 (.168)	–	–
β2	2.043 (.333)	1.953 (.316)	–	–	–	–
AUC	.809 (.066)	.823 (.040)	.655 (.079)	.694 (.054)	.155 (.129)	.129 (.030)
DMR	.155 (.376)	.173 (.193)	.065 (.148)	.112 (.081)	.090 (.473)	.061 (.267)
ITPR	.168 (.389)	.188 (.199)	.108 (.036)	.142 (.015)	.060 (.353)	.045 (.193)
IFPR	.013 (.013)	.015 (.007)	.043 (.154)	.030 (.087)	−.029 (.126)	−.015 (.082)
TPR(.002)	.979 (.023)	.981 (.024)	.986 (.031)	.989 (.021)	−.007 (.031)	−.008 (.023)
FPR(.002)	.827 (.123)	.824 (.167)	.928 (.060)	.939 (.066)	−.101 (.073)	−.116 (.125)
PPV(.002)	.014 (.004)	.016 (.004)	.016 (.007)	.014(.009)	−.002 (.007)	.002 (.007)
NPV(.002)	.999 (.001)	.999 (.001)	.997 (.005)	.998(.005)	.001 (.006)	.001 (.006)
TPR(.02)	.529 (.287)	.562 (.083)	.201 (.098)	.328 (.050)	.328 (.292)	.234 (.069)
FPR(.02)	.112 (.070)	.114 (.051)	.069 (.328)	.099(.074)	.043 (.249)	.015 (.097)
PPV(.02)	.052 (.015)	.063 (.019)	.042 (.041)	.043 (.041)	.011 (.038)	.021 (.055)
NPV(.02)	.994 (.003)	.993 (.002)	.987 (.018)	.990 (.006)	.007 (.014)	.003 (.005)
PCF(.20)	.636 (.131)	.667 (.071)	.307 (.047)	.453 (.048)	.329 (.117)	.214 (.056)
PNF(.85)	.526 (.119)	.570 (.061)	.400 (.051)	.386 (.037)	.125 (.120)	.183 (.067)