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Citing Risk Bridge

If you use Risk Bridge in your scientific publications or technical analyses, please cite both the software implementation and the underlying methodological foundation.


Software Citation

To cite the software package directly:

@software{risk_bridge_2026,
  author       = {Park, Saehwan and {Risk Bridge contributors}},
  title        = {Risk Bridging through Constrained MLE},
  year         = {2026},
  version      = {1.0.5},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.21401396},
  url          = {https://github.com/SaehwanPark/risk-bridge}
}

Digital Object Identifiers (DOIs)


Foundation Methodological Papers

  • Cao, Y., Ma, W., Zhao, G., McCarthy, A. M., & Chen, J. (2024). A constrained maximum likelihood approach to developing well-calibrated models for predicting binary outcomes. Lifetime Data Analysis, 30(3), 624–648. https://doi.org/10.1007/s10985-024-09623-6
  • Wang, L., & Chen, J. (2026). Developing Accurate Risk Prediction Using Biased Electronic Health Record Data. Manuscript in preparation.