Functional varying-coefficient Cox model and its application
Abstract
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.
Fields of Study & Subjects
Statistical Methods and Inference
Bayesian Methods and Mixture Models
Statistical Methods and Bayesian Inference
Publication details
- Journal / source
- Statistical Methods in Medical Research
- Volume
- 35
- Issue
- 2
- Pages
- 301–312
- Publication date
- 2 January 2026
- Language
- EN