A Practical Tutorial on Semi-competing Risks in Aging Research: Long-term Care Facility Admission and Death Using SemiCompRisks in R
Related Experiment Video
Updated: Nov 4, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Jaeyeop Choi1, Jimin Yoon1, Seungyeon Chun1
1Seoul National University, Seoul, Korea.
Abstract:
Population aging affects many aspects of health and social care, particularly the transition of older adults from home-based to facility-based long-term care. Analysis of this transition is complicated because some older adults die before facility admission can occur, and clinical factors may be associated with both admission and mortality. This tutorial introduces semi-competing risks analysis as a framework for addressing this asymmetric event structure, using long-term care facility (LTCF) admission among home-based care users as a worked example. The event process is represented by 3 transition-specific hazards: LTCF admission, death before LTCF admission, and death after LTCF admission. These hazards are estimated using the SemiCompRisks package in R, with a shared frailty linking the 3 hazards to account for residual dependence between the admission and death processes. This approach is compared with 2 analyses that define the outcome differently: a survival analysis treating LTCF admission as the event and death as censoring and a composite endpoint analysis treating LTCF admission and death as a single event. This worked example may help researchers recognize semi-competing risks structures in data from aging studies, distinguish non-terminal from terminal events, and select an analytic approach that reflects the ordering of care transition and death.
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