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ebdt: Evaluation of Binary Diagnostic Test

An R package for calculating quality measures of binary diagnostic tests with confidence intervals.

Overview

This package calculates the point estimate and confidence intervals of diagnostic test quality measures including:

• Sensitivity & Specificity: Test accuracy for positives and negatives
• Predictive Values: PPV and NPV for clinical prediction
• Likelihood Ratios: PLR and NLR for test utility
• Additional measures: Youden Index, Weighted Kappa, Prevalence

Supports both: - Cohort/Cross-sectional studies: Full parameter set - Case-Control/Retrospective studies: Limited to Sensitivity, Specificity, Youden Index, and Likelihood Ratios

Installation

# Install from GitHub
remotes::install_github("migmontal/ebdt")

Quick Start

library(ebdt)

# Example: 2x2 contingency table from a diagnostic test study
# TP=95, FP=10, FN=5, TN=290
ebdt(s1=95, r1=10, s0=5, r0=290, conflev=0.95, digits=3)

Features

• Automatic calculation of confidence intervals using appropriate methods
• Support for both cohort and case-control study designs
• Customizable confidence level and decimal precision
• Formatted console output with 2×2 contingency table
• Interactive Shiny app for user-friendly analysis

Documentation

See the online documentation for: - Function reference - Usage examples - Methodological details and references

Website

This repository hosts the website created for the ebdt library. You can view it at the following link:

https://migmontal.github.io/ebdt-webside/

Shiny app

Run the app and perform your calculations:

https://migmontal.shinyapps.io/ebdt/

Authors

• Miguel Angel Montero-Alonso (ORCID: 0000-0002-1214-9035)
• Juan de Dios Luna del Castillo (ORCID: 0000-0002-1854-4968)

Fundings

Plan Propio de Investigación y Transferencia de la Universidad de Granada. 2024. Programa 21. Programa de estimulación a la investigación.

License

MIT License - see LICENSE file for details. Copyright (c) 2026 Universidad de Granada.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.