ROC.semipar: Semiparametric ROC Analysis
In yizhenxu/TVLT: Targeted Gold Standard Testing

Description Usage Arguments Value Examples

This function performs ROC analysis on the rules from nonparametric approach. If plot=TRUE, the ROC curve is returned.

1	ROC.semipar(Z, S, phi, plot = TRUE)

`Z`	True disease status (No disease / treatment success coded as Z=0, diseased / treatment failure coded as Z=1).
`S`	Risk score.
`phi`	Percentage of patients taking viral load test.
`plot`	Logical parameter indicating if ROC curve should be plotted. Default is `plot=TRUE`. If false, then only AUC is calculated.

AUC The area under the ROC curve. FNR Misdiagnoses rate for viral failure (false negative rate). FPR Misdiagnoses rate for treatment failure (false positive rate).

d = Simdata
Z = d$Z # True Disease Status
S = d$S # Risk Score
phi = 0.1 #10% of patients taking viral load test
a = ROC.semipar( Z, S, phi,plot=TRUE)
a$AUC
a$FNR
a$FPR