cippv {alternativeROC}R Documentation

Diagnostic performance: Confidence interval for positive predictive value

Description

This function computes a confidence interval for the positive predictive value from a ROC curve, given the prevalence of the positive outcome.

Usage

cippv(
  roc,
  ppv,
  prevalence,
  boot.n = 2000,
  quantiles = c(0.5, 0.025, 0.975),
  ...
)

Arguments

roc

Object of class pROC.

ppv

Positive predictive value.

prevalence

Prevalence of the endpoint in the study population.

boot.n

Number of bootstrap replicates. Default: 2000.

quantiles

Quantiles. Default: c(0.5,.025,.975).

...

Not used.

Details

This function computes a confidence interval for the positive predictive value from a ROC curve, given the prevalence of the positive outcome. The confidence interval is computed using bootstrap resampling.

Value

A numeric vector of length 3 containing the median, lower bound, and upper bound of the confidence interval.


[Package alternativeROC version 1.0.0 Index]