A Gaussian copula joint model for longitudinal and time-to-event data with random effects

Zili Zhang, Christiana Charalambous, Peter Foster. A Gaussian copula joint model for longitudinal and time-to-event data with random effects. Computational Statistics & Data Analysis, 181:107685, May 2023. [doi]

@article{ZhangCF23,
  title = {A Gaussian copula joint model for longitudinal and time-to-event data with random effects},
  author = {Zili Zhang and Christiana Charalambous and Peter Foster},
  year = {2023},
  month = {May},
  doi = {10.1016/j.csda.2022.107685},
  url = {https://doi.org/10.1016/j.csda.2022.107685},
  researchr = {https://researchr.org/publication/ZhangCF23},
  cites = {0},
  citedby = {0},
  journal = {Computational Statistics & Data Analysis},
  volume = {181},
  pages = {107685},
}