DiagnostySize: App for Calculating the Sample Size in a Diagnostic Study

We developed a 'shiny' app for the optimal sample size calculations for diagnostic accuracy studies proposed in Stark and Zapf (2020) <doi:10.1177/0962280220913588>, and Stark et al. (2022) <doi:10.1186/s12874-022-01564-2>, so people without programming skills can use this approach as well. Until now, this approach was just available via 'R' scripts. This app, 'DiagnostySize', lets users apply the optimal sample size calculation approach, ensuring that no endpoint (sensitivity or specificity) is overpowered. Within the app, users can run the optimal sample size and power calculations for different study designs through a user interface.

Version:	0.1.0
Imports:	shiny, shinydashboard, shinyBS, markdown, DT, htmltools, stats
Suggests:	knitr, rmarkdown
Published:	2026-10-10
DOI:	10.32614/CRAN.package.DiagnostySize (may not be active yet)
Author:	Jana Wiesner [aut, cre], Maria Stark [ctb]
Maintainer:	Jana Wiesner <wiesner1 at uni-bremen.de>
License:	GPL-3
URL:	https://github.com/JanaW09/DiagnostySize_App
NeedsCompilation:	no
CRAN checks:	DiagnostySize results

Documentation:

Reference manual:	DiagnostySize.html , DiagnostySize.pdf
Vignettes:	Vignette DiagnostySize (source, R code)

Downloads:

Package source:	DiagnostySize_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): DiagnostySize_0.1.0.tgz, r-oldrel (arm64): DiagnostySize_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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