dsBinVal: Conducting distributed ROC analysis using DataSHIELD

R Submitted 13 June 2022Published 21 February 2023
Review

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Authors

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

Citation

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

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ISSN 2475-9066