JMcmprsk: An R Package for Joint Modelling of Longitudinal and Survival Data with Competing Risks

In this paper, we describe an R package named JMcmprsk, for joint modelling of longitudinal and survival data with competing risks. The package in its current version implements two joint models of longitudinal and survival data proposed to handle competing risks survival data together with continuous and ordinal longitudinal outcomes respectively (Elashoff et al. 2008; Li et al. 2010). The corresponding R implementations are further illustrated with real examples. The package also provides simulation functions to simulate datasets for joint modelling with continuous or ordinal outcomes under the competing risks scenario, which provide useful tools to validate and evaluate new joint modelling methods.

Hong Wang (School of Mathematics & Statistics,Central South University) , Ning Li (UCLA Biomathematics) , Shanpeng Li (Department of Biostatistics,UCLA School of Public Health) , Gang Li* (Department of Biostatistics,UCLA School of Public Health)
2021-06-07

Supplementary materials

Supplementary materials are available in addition to this article. It can be downloaded at RJ-2021-028.zip

R. M. Elashoff, G. Li and N. Li. A joint model for longitudinal measurements and survival data in the presence of multiple failure types. Biometrics, 64(3): 762–771, 2008.
N. Li, R. M. Elashoff, G. Li and J. Saver. Joint modeling of longitudinal ordinal data and competing risks survival times and analysis of the NINDS rt-PA stroke trial. Statistics in medicine, 29(5): 546–557, 2010.

References

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Citation

For attribution, please cite this work as

Wang, et al., "JMcmprsk: An R Package for Joint Modelling of Longitudinal and Survival Data with Competing Risks", The R Journal, 2021

BibTeX citation

@article{RJ-2021-028,
  author = {Wang, Hong and Li, Ning and Li, Shanpeng and Li\*, Gang},
  title = {JMcmprsk: An R Package for Joint Modelling of Longitudinal and Survival Data with Competing Risks},
  journal = {The R Journal},
  year = {2021},
  note = {https://doi.org/10.32614/RJ-2021-028},
  doi = {10.32614/RJ-2021-028},
  volume = {13},
  issue = {1},
  issn = {2073-4859},
  pages = {67-82}
}