# 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

1 | ```
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

1 2 3 | ```
## Calculate confidence intervals for data from the Million Women Study
confIntDiagnostic(tp=629, fp=3885, tn=117744, fn=97)
``` |

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