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Estimation in the single change-point hazard function for interval-censored data with a cure fraction

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  • Bing Wang
  • Xiaoguang Wang
  • Lixin Song

Abstract

In reliability or survival analysis, the hazard function plays a significant part for it can display the instantaneous failure rate at any time point. In practice, the abrupt change in hazard function at an unknown time point may occur after a maintenance activity or major operation. Under these circumstances, identifying the change point and estimating the size of the change are meaningful. In this paper, we assume that the hazard function is piecewise constant with a single jump at an unknown time. We propose the single change-point model for interval-censored survival data with a cure fraction. Estimation methods for the proposed model are investigated, and large-sample properties of the estimators are established. Simulation studies are carried out to evaluate the performance of the estimating method. The liver cancer data and breast cancer data are analyzed as the applications.

Suggested Citation

  • Bing Wang & Xiaoguang Wang & Lixin Song, 2020. "Estimation in the single change-point hazard function for interval-censored data with a cure fraction," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(2), pages 231-247, January.
    • Handle: RePEc:taf:japsta:v:47:y:2020:i:2:p:231-247
    DOI: 10.1080/02664763.2019.1635571
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    Cited by:

    1. Bhupendra Singh & Shubhi Rathi & Gajraj Singh & Puneet Kumar Gupta, 2022. "A change-time hazard rate model and its goodness of fit," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(4), pages 1903-1912, August.

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