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Modestly weighted logrank tests
Author(s) -
Magirr Dominic,
Burman CarlFredrik
Publication year - 2019
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.8186
Subject(s) - log rank test , rank (graph theory) , class (philosophy) , statistics , mathematics , computer science , econometrics , survival analysis , artificial intelligence , combinatorics
We propose a new class of weighted logrank tests (WLRTs) that control the risk of concluding that a new drug is more efficacious than standard of care, when, in fact, it is uniformly inferior. Perhaps surprisingly, this risk is not controlled for WLRT in general. Tests from this new class can be constructed to have high power under a delayed‐onset treatment effect scenario, as well as being almost as efficient as the standard logrank test under proportional hazards.