ebdt: Calculate all parameters of a binary diagnostic test in a...

In ebdt: Evaluation of Binary Diagnostic Test

Calculate all parameters of a binary diagnostic test in a traverse or Cross-sectional study.

Description

This function calculate Sensitivity, Specificity, positive and negative predictive value, positive and negative Likelihood Ratio, Weighted Kappa coeficient, Youden Index, prevalence and their Confidence intervals in a traverse or Cross-sectional study, and Sensitivity, Specificity, Youden Index, positive and negative Likelihood Ratio in a Case Control or Retrospective study.

Usage

ebdt(
  s1,
  r1,
  s0,
  r0,
  conflev = 0.95,
  digits = 3,
  study = TRUE,
  verbose = TRUE,
  print_table = TRUE,
  quiet = FALSE
)

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.
study	Logical. If TRUE in a traverse or Cross-sectional study, FALSE in a Case Control or Retrospective study. Default TRUE.
verbose	Logical. If TRUE, it prints the execution time. Default is TRUE.
print_table	Logical. If TRUE, print 2x2 table. Default TRUE.
quiet	Logical. If TRUE, it reduces non-critical messages (maintains important warnings). Default is FALSE.

Details

Evaluating of Binary Diagnostic Test (EBDT)

Calculate the point estimate and confidence intervals of the quality measures of a binary diagnostic test.

Value

No return value; prints formatted results to the console. List with: Sensitivity, Specificity, Youden_Index, Prevalence, PPV, NPV, PLR, NLR, Weighted_Kappa and their Confidence intervals.

References

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

Agresti, A., Coull, B.A., (1998). Approximate is better than ‘exact’ for interval estimation of binomial proportions. The American Statistician, 52:119 – 126.

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

Simel D.L., Samsa, G.P., Matchar, D.B., (1991). Likelihood ratios with confidence: sample size estimation for diagnostic test studies. J. Clin Epidemiology, 44(8): 763-770.

Roldán Nofuentes J.A., Luna del Castillo J.D., Montero Alonso, M.A., (2009). Confidence intervals of weighted kappa coefficient of a binary diagnostic test. Communications in Statistics. Simulation and Computation, 38: 1562 – 1578.

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

ebdt(40, 5, 10, 45, conflev = 0.95, digits = 4)

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