Improved logrank-type tests for survival data using adaptive weights.
Ontology highlight
ABSTRACT: For testing for treatment effects with time-to-event data, the logrank test is the most popular choice and has some optimality properties under proportional hazards alternatives. It may also be combined with other tests when a range of nonproportional alternatives are entertained. We introduce some versatile tests that use adaptively weighted logrank statistics. The adaptive weights utilize the hazard ratio obtained by fitting the model of Yang and Prentice (2005, Biometrika 92, 1-17). Extensive numerical studies have been performed under proportional and nonproportional alternatives, with a wide range of hazard ratios patterns. These studies show that these new tests typically improve the tests they are designed to modify. In particular, the adaptively weighted logrank test maintains opti
SUBMITTER: Yang S
PROVIDER: S-EPMC2998240 | biostudies-literature | 2010 Mar
REPOSITORIES: biostudies-literature
ACCESS DATA