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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@Unpublished{,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},
}
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