Modelling longitudinal and time-to-event data: a phase IV simulation study comparing R package implementations of joint models with time-varying Cox proportional-hazards regression, and the two-stage approach.
- DOI
- 10.1186/s12874-026-02875-4
- Published
- 2026 May 14
- Container
- BMC medical research methodology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12874-026-02875-4,
title = {Modelling longitudinal and time-to-event data: a phase IV simulation study comparing R package implementations of joint models with time-varying Cox proportional-hazards regression, and the two-stage approach.},
author = {Heege J and Greven S and Schaeffner E and Grittner U and Aigner A},
year = {2026},
journal = {BMC medical research methodology},
doi = {10.1186/s12874-026-02875-4},
url = {https://doi.org/10.1186/s12874-026-02875-4}
}RIS
TY - JOUR TI - Modelling longitudinal and time-to-event data: a phase IV simulation study comparing R package implementations of joint models with time-varying Cox proportional-hazards regression, and the two-stage approach. AU - Heege J AU - Greven S AU - Schaeffner E AU - Grittner U AU - Aigner A PY - 2026 JO - BMC medical research methodology DO - 10.1186/s12874-026-02875-4 UR - https://doi.org/10.1186/s12874-026-02875-4 ER -
APA
J, H., S, G., E, S., U, G., & A, A. (2026). Modelling longitudinal and time-to-event data: a phase IV simulation study comparing R package implementations of joint models with time-varying Cox proportional-hazards regression, and the two-stage approach.. BMC medical research methodology. https://doi.org/10.1186/s12874-026-02875-4
Source records
- pubmed · retrieved 2026-09-26T13:31:01.433Z