An improved two-stage procedure to compare hazard curves

ABSTRACT

Qiu and Sheng has proposed a powerful and robust two-stage procedure to compare two hazard rate functions. In this paper we improve their method by using the Fisher test to combine the asymptotically independent p-values obtained from the two stages of their procedure. In addition, we extend the procedure to situations with multiple hazard rate functions. Our comprehensive simulation study shows that the proposed method has a good performance in terms of controlling the type I error rate and of detecting power. Three real data applications are considered for illustrating the use of the new method.

KEYWORDS:

• Bonferroni correction
• crossing
• Fisher test
• hazard rate
• survival data

Disclosure statement

No potential conflict of interest was reported by the authors.