Proportional hazards model: Difference between revisions
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Latest revision as of 16:00, 7 October 2024
In statistics and regression analysis, proportional hazards models are "statistical models used in survival analysis that assert that the effect of the study factors on the hazard rate in the study population is multiplicative and does not change over time."[1] Proportional hazards models assume that the relative risk remains constant over time.[2] The Cox proportional hazard model is an example of a proportional hazards model.
References
- ↑ Anonymous (2024), Proportional hazards model (English). Medical Subject Headings. U.S. National Library of Medicine.
- ↑ Lagakos SW (July 2006). "Time-to-event analyses for long-term treatments--the APPROVe trial". N. Engl. J. Med. 355 (2): 113–7. DOI:10.1056/NEJMp068137. PMID 16801354. Research Blogging.