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Functional varying-coefficient Cox model and its application

Fansheng Kong et al.

Statistical Methods In Medical Research2026https://doi.org/10.1177/09622802251406527article
ABDC B
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0.50

What the paper says

When data become increasingly complex, desirable models are required to be more flexible for analyzing survival data. Building upon the existing functional Cox model, we introduce a novel functional varying-coefficient Cox model and the corresponding estimation algorithms are proposed in this article. The proposed model can simultaneously handle survival data with varying-coefficient covariates and functional covariates, thereby significantly enhancing the adaptability of survival models. The model performance is evaluated by simulation studies, and a real application using Alzheimer's disease neuroimaging initiative (ADNI) data is used to illustrate the practicality of the proposed model.

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https://doi.org/https://doi.org/10.1177/09622802251406527

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@article{fansheng2026,
  title        = {{Functional varying-coefficient Cox model and its application}},
  author       = {Fansheng Kong et al.},
  journal      = {Statistical Methods In Medical Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/09622802251406527},
}

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Functional varying-coefficient Cox model and its application

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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