Opt.semipar.rule: Optimal Semiparametric Rule

In yizhenxu/TVLT: Targeted Gold Standard Testing

Description

This function gives you the optimal semiparametric tripartite rule that minimizes the min-λ rules.

Usage

Opt.semipar.rule(Z, S, phi, lambda)

Arguments

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.
lambda	A user-specified weight that reflects relative loss for the two types of misdiagnoses, taking value in [0,1]. Loss=λ*I(FN)+(1-λ)*I(FP).

Value

Optimal semiparametric rule and its associated misclassification rates (FNR, FPR), optimal lambda risk, and total misclassification rate (TMR).

Examples

d = Simdata
Z = d$Z # True Disease Status
S = d$S # Risk Score
phi = 0.1 #10% of patients taking viral load test
lambda = 0.5
Opt.semipar.rule( Z, S, phi, lambda)

yizhenxu/TVLT documentation built on Nov. 27, 2020, 2:37 a.m.