Bayesian test for hazard ratio in survival analysis

Gwangsu Kim, Seong Whan Lee

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Over the decades, testing for equivalence of hazard functions has received a wide attention in survival analysis. In this paper, we proposed a Bayesian test to address this testing equivalence problem, Most of all, proposed test is methodologically flexible so that a procedure determining weights is not required when the proportional assumption is violated. In comparison with popularly exploited methods, the proposed test is shown to be more powerful and robust in testing differences of hazard functions, in spite of the presence of crossing hazard functions. Extensive applications to simulation and real data were conducted, demonstrating that the proposed test presents outstanding performance and hold desirable properties in terms of numerical aspects.

Original languageEnglish
Article number649
JournalSpringerPlus
Volume5
Issue number1
DOIs
Publication statusPublished - 2016 Dec 1

Keywords

  • B-spline
  • Bayesian test
  • Crossing hazard functions
  • Log rank test
  • Partial likelihood
  • Proportional hazards model
  • Time-varying survival analysis

ASJC Scopus subject areas

  • General

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