sens: Sensitivity, Specificity and False Positive Rate

In mada: Meta-Analysis of Diagnostic Accuracy

Sensitivity, Specificity and False Positive Rate

Description

Calculate basic measures of diagnostic accuracy for a number of studies.

Usage

sens(x)
spec(x)
fpr(x)

Arguments

x	a data frame with variables including TP, FN, FP, TN, alternatively a matrix with column names including these.

Details

These functions are the basic building blocks of many procedures to assess diagnostic accuracy. For a decent summary of set of primary studies it is better to use madad, for graphical summaries crosshair and ROCellipse are available.

Value

A numeric vector.

Author(s)

Philipp Doebler <[e-mail]>

See Also

madad, crosshair, link{ROC.ellipse}

Examples

data(AuditC)
plot(fpr(AuditC), sens(AuditC), main = "AUDIT-C data on ROC space",
     ylab = "Sensitivity", xlab = "False Positive Rate")

mada documentation built on July 16, 2022, 1:05 a.m.