Time-constant absolute effect measures for time-to-event outcomes
The class of parametric additive hazard models offers a valuable tool for calculating time-constant absolute effect measures for time-to-event outcomes. This approach effectively addresses the issues of time-dependence and limited distribution flexibility, providing a single, interpretable absolute effect size. Future work could explore more general distributions and further derivation of absolute effect measures on the time scale.
Authors
- Annika Hoyer (ORCID: https://orcid.org/0000-0002-0241-9951)
- Oliver Kuß (ORCID: https://orcid.org/0000-0003-3301-5869)
Institutions
- Bielefeld University (DE)
- Düsseldorf University Hospital (DE)
- Deutsches Diabetes-Zentrum e.V. (DE)
- German Center for Diabetes Research (DE)
- Heinrich Heine University Düsseldorf (DE)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-12-17
- DOI
- https://doi.org/10.1186/s12874-025-02743-7
- Primary Topic
- Statistical Methods and Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00