Fracture risk assessment in the presence of competing risk of death.

ABSTRACT:

Purpose

To identify the optimal statistical approach for predicting the risk of fragility fractures in the presence of competing event of death.

Methods

We used real-world data from the Dubbo Osteoporosis Epidemiology Study that has monitored 3035 elderly participants for bone health and mortality. Fragility fractures were ascertained radiologically. Mortality was confirmed by the State Registry. We considered four statistical models for predicting fracture risk: (i) conventional Cox's proportional hazard model, (ii) cause-specific model, (iii) Fine-Gray sub-distribution model, and (iv) multistate model. These models were fitted and validated in the development (60% of the original sample) and validation (40%) subsets, respectively. The model performance was assessed by disc

SUBMITTER: Tran TS 

PROVIDER: S-EPMC11499430 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature