Why use methods that require proportional hazards?
We recently questioned the utility of testing for proportional hazards in survival analysis. Here, we expand on why the proportional hazards assumption is both implausible and unnecessary in most medical studies, particularly in randomized trials. We conclude that using survival analysis methods that do not rely on proportional hazards is typically the preferred course of action.
Authors
- Mats Julius Stensrud (ORCID: https://orcid.org/0000-0001-9641-1936)
- Miguel A. Hernán (ORCID: https://orcid.org/0000-0003-1619-8456)
Institutions
- Harvard University (US)
- Cancer Research And Biostatistics (US)
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- American Journal of Epidemiology
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1093/aje/kwae361
- Citations
- 6
- Primary Topic
- Statistical Methods and Inference
- Type
- article
- Field-Weighted Citation Impact
- 4.25