CUtools (version 0.1.0)

CUC_table: 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)

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

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

Author

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

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

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)