Abstract
Joint modeling of recurrent and terminal events has attracted considerable interest and extensive investigations by many authors. The assumption of low-dimensional covariates has been usually applied in the existing studies, which is however inapplicable in many practical situations. In this paper, we consider a partial sufficient dimension reduction approach for a joint model with high-dimensional covariates. Some simulations as well as three real data applications are presented to confirm and assess the performance of the proposed model and approach.
Original language | English |
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Pages (from-to) | 522-541 |
Number of pages | 20 |
Journal | Journal of Applied Statistics |
Volume | 46 |
Issue number | 3 |
DOIs | |
Publication status | Published - 17 Feb 2019 |
Keywords
- high-dimensional
- Joint model
- partial sufficient dimension reduction
- recurrent event
- terminal event