confIntDiagnostic {biostatUZH} | R Documentation |
Compute confidence intervals for sensitivity, specificity, positive and negative likelihood ratio of a diagnostic test.
confIntDiagnostic(tp, fp, tn, fn, conf.level = 0.95)
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. |
A dataframe containing the estimated confidence intervals for sensitivity, specificity, positive and negative likelihood ratio.
Leonhard Held
Pepe, M.S. (2003) The statistical evaluation of medical tests for classification and prediction. Oxford: Oxford University Press.
## Calculate confidence intervals for data from the Million Women Study confIntDiagnostic(tp=629, fp=3885, tn=117744, fn=97)