Calibration of cause-specific absolute risk for external validation using each cause-specific hazards model in the presence of competing events.

ABSTRACT:

Background

When developing/validating prognostic models, it is typical to assess calibration between predicted and observed risks - either in the development dataset or in an external sample. For competing risks data, correct specification of more than one model may be required to ensure well-calibrated predicted risks for the event of interest. Furthermore, interest may be in the predicted risks of the event of interest, competing events and all-causes. Therefore, calibration must be assessed simultaneously using various measures.

Methods

We focus on the calibration of prediction models for external validation using a cause-specific hazards approach. We propose that miscalibration for cause-specific hazard models be assessed using components specific to each model through t

SUBMITTER: Mozumder SI 

PROVIDER: S-EPMC12519608 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature