Peer Review Report For: DTAShiny: An Interactive R Shiny Application for Diagnostic Test Accuracy Analysis and Visualization [version 1; peer review: 3 approved with reservations]

Diagnostic Test Accuracy (DTA) analyses are essential in clinical research and medical decision-making. Despite the availability of R packages such as pROC and ROCR, their use often requires programming expertise, limiting accessibility for many clinical researchers. An interactive, code-free method is therefore needed to enhance usability and understanding. We developed DTAShiny, an R Shiny based web application that allows users to upload diagnostic data sets in CSV or Stata formats, perform DTA metric calculations, and generate dynamic visualizations. The application is built using shiny, bs4Dash, pROC, ggplot2, and other packages. It includes heuristic-based automatic detection of reference and test variables and offers real time threshold adjustment via an interactive slider. DTAShiny computes standard sensitivity, specificity, PPV, NPV, AUC and advanced F1 score, balanced accuracy. These DTA metrics are accompanied with approximate confidence intervals. The tool generates ROC and PR curves, distribution plots, and a calibration style plot. Real-time interactivity enables users to observe trade offs as thresholds change. This Zenodo deposit contains the DATAShiny source code, an example anonymised dataset, and documentation to run the app locally.