gn_nlr: Calculate Gart-Nam CI for negative likelihood ratio

In ebdt: Evaluation of Binary Diagnostic Test

Calculate Gart-Nam CI for negative likelihood ratio

Description

This function calculate Gart-Nam Confidence Interval for Negative Likelihood Ratio.

Usage

gn_nlr(s1, r1, s0, r0, conflev = 0.95, digits = 3)

Arguments

s1	Non-negative numeric. TP - True positive (cases correctly classified as +).
r1	Non-negative numeric. FP - False positives (controls classified as +).
s0	Non-negative numeric. FN - False negatives (cases classified as -).
r0	Non-negative numeric. TN - True negatives (controls classified as -).
conflev	Confidence level (0,1). Default 0.95.
digits	Integer. Number of decimal places. Default 3.

Details

Evaluating of Binary Diagnostic Test (EBDT)

Gart-Nam (GN) CI for negative likelihood ratio (LR-)

Requires a 'rootall()' function in the environment (the robust version reviewed above is suitable).

Value

list with: - LinfGNLRn: lower limit of the IC GN for LR- - LsupGNLRn: upper limit of the IC GN for LR-

References

Agresti, A., (2002). Categorical Data Analysis. John Wiley and Sons, New York.

Gart, J.J., Nam J., (1988). Aproximate interval estimation of the ratio of binomial parameters: a review and corrections for skewness. Biometrics, 44: 323 – 338.

Montero-Alonso, M.Á.(2010). Intervalos de confianza y contrastes de hipótesis para parámetros de tests diagnósticos binarios, http://hdl.handle.net/10481/4879

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

Zhou, X.-H., Obuchowski, N. A., y McClish, D. K. (2011). Statistical Methods in Diagnostic Medicine (2.ª ed.). John Wiley & Sons.

Examples

gn_nlr(40, 5, 10, 45)

ebdt documentation built on Aug. 27, 2026, 1:08 a.m.