An Interactive Web Tool for Sample Size Calculation in Assessing Models' Discriminative Abilities
powerROC is a web-based tool designed to assist researchers in calculating the necessary sample size for evaluating the discriminative abilities of predictive models. This tool is particularly useful for those working in fields such as biostatistics, epidemiology, and machine learning applications.
- 🌐 Website is available at https://fcgrolleau.github.io/powerROC
- 📜 Paper is available at http://arxiv.org/abs/2501.03155
- 📘 Introduction Tutorial is available at https://github.com/fcgrolleau/powerROC/blob/main/powerroc.pdf
- 📖 ShinyApp Code is available at https://github.com/HealthRex/CDSS/tree/master/scripts/DevWorkshop/ROC-power/shinyapp
- 🗂️ Case Study Code is available in the
script/case_studyfolder
MIT