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]