Comparative effectiveness research with average hazard for censored time-to-event outcomes: simulation study and application to observational data
Using difference in average hazards and ratio of average hazards as estimands, when combined with common confounding adjustment methods, is feasible and reliable for comparative effectiveness research. The average hazard-based analysis provides a practical alternative to the traditional hazard ratio approach for quantifying the magnitude of the intervention effect on survival outcomes.
Authors
- Hong Xiong (ORCID: https://orcid.org/0000-0003-4402-7478)
- D. Schrag
- Jean M. Connors (ORCID: https://orcid.org/0000-0001-6445-582X)
- Hajime Uno (ORCID: https://orcid.org/0000-0003-0622-8471)
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- Harvard University (US)
- Cancer Research And Biostatistics (US)
- Dana-Farber Cancer Institute (US)
- Dana-Farber/Harvard Cancer Center (US)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-12-26
- DOI
- https://doi.org/10.1186/s12874-025-02741-9
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00