CUC_table {CUtools}R Documentation

Clinical utility tools to analyze a predictive model

Description

Efficacy of a biomarker defined by the treatment saved below a cut-off point minus the missclasified events.

Usage

CUC_table(Th,Prob,yt)

Arguments

Th

The vector of cutoff points used to estimate efficacy at those points.

Prob

A vector with the event probability values provided by the biomarker.

yt

A vector with the actual event values

Details

Prob must be a numeric vector with values between 0 and 1, yt a numeric vector with dichotomic values 0/1 and z a numeric value between 0 and 100

Value

The returned object contains the following components:

CUC_table

A data frame with three columns, the threshold points, the rate of missing events and the rate of avoided treatments

Author(s)

Maria Escorihuela, Luis Mariano Esteban, Gerardo Sanz, Angel Borque

Examples

###We generate a marker to serve as an example

Prob<-c(rnorm(1000,0.4,0.1),rnorm(1000,0.5,0.05))
yt<-rep(c(0,1),c(1000,1000))
#We choose a grid of threshold points.
Th<-seq(1,100)
#Estimte the Clinical utility table
CUC_table(Th, Prob, yt)

[Package CUtools version 0.1.0 Index]