Yu T, Zhang B (2026). CopulaSCR: Analysis of Semi-Competing Risks Data Using Copula-Based Models. doi:10.32614/CRAN.package.CopulaSCR. R package version 1.0.4, https://CRAN.R-project.org/package=CopulaSCR.

Yu T, Xiang L (2026). “Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis.” Biometrics, 82(2), ujag087. doi:10.1093/biomtc/ujag087.

Yu T, Zhang B, Xiang L, Ma J, Chen C (2026). “CopulaSCR: An R Package for the Analysis of Semi-competing Risks Data Using Copula-based Models.” Working paper.

Corresponding BibTeX entries:

  @Manual{,
    title = {CopulaSCR: Analysis of Semi-Competing Risks Data Using
      Copula-Based Models},
    author = {Tonghui Yu and Binhui Zhang},
    year = {2026},
    note = {R package version 1.0.4},
    url = {https://CRAN.R-project.org/package=CopulaSCR},
    doi = {10.32614/CRAN.package.CopulaSCR},
  }

  @Article{,
    title = {Learning association from multiple intermediate events for
      dynamic prediction of survival: an application to cardiovascular
      disease prognosis},
    author = {Tonghui Yu and Liming Xiang},
    year = {2026},
    journal = {Biometrics},
    volume = {82},
    number = {2},
    pages = {ujag087},
    doi = {10.1093/biomtc/ujag087},
  }

  @Unpublished{,
    title = {{CopulaSCR}: An {R} Package for the Analysis of
      Semi-competing Risks Data Using Copula-based Models},
    author = {Tonghui Yu and Binhui Zhang and Liming Xiang and Jianwei
      Ma and Chixiang Chen},
    year = {2026},
    note = {Working paper},
  }