Weibull lagged effect step-stress model with competing risks

ABSTRACT

In many survival analysis studies, failure can come from one of several competing risks. Additionally, where survival times are lengthy, researchers can increase stress levels to cause units to fail faster. One type of accelerated testing is a step-stress test where the increase is presented in quantum jumps at predetermined time points. If the impact of the increase is not immediately attained, an interim lag period is modeled. In this article, we propose a two-competing risk step-stress model with a lag period where each independent risk follows a Weibull lifetime distribution, the interim lag period is linear, and the attainment point is assumed known. We obtain the maximum likelihood estimators and the observed information matrix; we construct confidence intervals and provide estimates of coverage probabilities using large sample theory, percentile bootstrap, and bias-corrected accelerated (BCa) bootstrap methods.

KEYWORDS:

• Accelerated failure
• BCa bootstrap
• Competing risks
• Lagged effect
• Step-stress
• Weibull.

MATHEMATICS SUBJECT CLASSIFICATION:

• 62F40, 62F25, 62N05

Acknowledgments

The author wishes to thank the two anonymous referees for their careful reading and valuable contributions in greatly improving this work.