articleJAMAMar 13, 2020GREEN OA

Why Test for Proportional Hazards?

MJMats Julius StensrudMAMiguel A. Hernán

University of Oslo · Harvard University · +1 more institution

PubMed
Indexed incrossrefpubmed

Abstract

This JAMA Guide to Statistics and Methods explains the meaning underlying the proportional hazards (PH) assumption underlying Cox regression and survival analyses, and proposes that reports of survival differences might replace statistical tests of the PH assumption because they are more meaningful.

Citation impact

547
total citations
FWCI
70.51
Percentile
100%
References
10
Citations per year

Authors

2

Topics & keywords

Topics
Keywords
  • Medicine
  • Proportional hazards model
  • Statistics
  • Survival analysis
  • Regression
  • Regression analysis
  • Meaning (existential)
  • Test (biology)
UN Sustainable Development Goals
  • Climate action
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