Calibration of cause-specific absolute risk for external validation using each cause-specific hazards model in the presence of competing events
If accurate predictions for both all-cause and each cause-specific absolute risks are of interest, this is best achieved by developing and validating models via the cause-specific hazards approach. For each cause-specific model, researchers should evaluate calibration plots separately using the complement of the cause-specific survival function to reveal the cause of any miscalibration. However, this also requires careful consideration of dependent censoring which must be sufficiently accounted for.
Authors
- Paul C. Lambert (ORCID: https://orcid.org/0000-0002-5337-663X)
- Sarwar Islam Mozumder (ORCID: https://orcid.org/0000-0001-9644-7525)
- Mark J. Rutherford (ORCID: https://orcid.org/0000-0003-1557-6697)
- Richard D Riley (ORCID: https://orcid.org/0000-0001-8699-0735)
- Sarah Booth (ORCID: https://orcid.org/0000-0003-1799-3144)
Institutions
- Norwegian Institute of Public Health (NO)
- University of Leicester (GB)
- Karolinska Institutet (SE)
- Cancer Registry of Norway (NO)
- Health Data Research UK (GB)
- NIHR Birmingham Biomedical Research Centre (GB)
- University of Birmingham (GB)
Publication Details
- Journal
- Diagnostic and Prognostic Research
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1186/s41512-025-00197-5
- Primary Topic
- Health Systems, Economic Evaluations, Quality of Life
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- AstraZeneca