confIntDiagnostic: Compute confidence intervals for operating characteristics of...

In biostatUZH: Misc Tools of the Department of Biostatistics, EBPI, University of Zurich

Description

Compute confidence intervals for sensitivity, specificity, positive and negative likelihood ratio of a diagnostic test. Optionally also positive and negative predictive value.

Usage

confIntDiagnostic(tp, fp, tn, fn, conf.level = 0.95, cohort=FALSE, pr=NA)

Arguments

tp	Number of true positives.
fp	Number of false positives.
tn	Number of true negatives.
fn	Number of false negatives.
conf.level	Confidence level for confidence intervals.
cohort	Logical indicator whether data comes from a cohort study.
pr	Prevalence.

Value

A dataframe containing the estimated confidence intervals for sensitivity, specificity, positive and negative likelihood ratio. Optionally also positive and negative predictive value.

Author(s)

Leonhard Held

References

Pepe, M.S. (2003) The statistical evaluation of medical tests for classification and prediction. Oxford: Oxford University Press.

Examples

## Calculate confidence intervals for data from the Million Women Study

confIntDiagnostic(tp=629, fp=3885, tn=117744, fn=97)
confIntDiagnostic(tp=629, fp=3885, tn=117744, fn=97, cohort=TRUE)
confIntDiagnostic(tp=629, fp=3885, tn=117744, fn=97, pr=0.045)

biostatUZH documentation built on May 2, 2019, 6:06 p.m.