Compute confidence intervals for operating characteristics of a diagnostic test

Description

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

Usage

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confIntDiagnostic(tp, fp, tn, fn, conf.level = 0.95)

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.

Value

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

Author(s)

Leonhard Held

References

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

Examples

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

confIntDiagnostic(tp=629, fp=3885, tn=117744, fn=97)

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