dsBinVal: Conducting distributed ROC analysis using DataSHIELD

R Submitted 13 June 2022Published 21 February 2023

Editor: @csoneson (all papers)
Reviewers: @patRyserWelch8 (all reviews), @brunomontezano (all reviews), @AnthonyOfSeattle (all reviews)


Daniel Schalk (0000-0003-0950-1947), Verena Sophia Hoffmann, Bernd Bischl, Ulrich Mansmann


Schalk et al., (2023). dsBinVal: Conducting distributed ROC analysis using DataSHIELD. Journal of Open Source Software, 8(82), 4545, https://doi.org/10.21105/joss.04545

@article{Schalk2023, doi = {10.21105/joss.04545}, url = {https://doi.org/10.21105/joss.04545}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {82}, pages = {4545}, author = {Daniel Schalk and Verena Sophia Hoffmann and Bernd Bischl and Ulrich Mansmann}, title = {dsBinVal: Conducting distributed ROC analysis using DataSHIELD}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  

DataSHIELD distributed computing distributed analysis privacy-preserving diagnostic tests prognostic model model validation ROC-GLM discrimination calibration Brier score

Markdown badge



Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066