A change-time hazard rate model and its goodness of fit

Bhupendra Singh (), Shubhi Rathi (), Gajraj Singh () and Puneet Kumar Gupta ()
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Bhupendra Singh: C.C.S. University
Shubhi Rathi: C.C.S. University
Gajraj Singh: C.C.S. University
Puneet Kumar Gupta: The ICFAI University

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 4, No 28, 1903-1912

Abstract: Abstract The study presents the estimation of the location of the change in the hazard-rate function of the survival times of patients who continue to live after a major life-threatening medical operation. The real data set that acts as a backbone for the present work is the Stanford heart transplantation data. On studying and interpreting, the non-parametric hazard rate plot, and cumulative hazard curve of the data, a suitable hazard rate model is proposed. The parameters involved in the proposed model have been assessed by the classical and Bayesian methods estimation. The likelihood-ratio test has been conducted to test the validity of the change time point in the data.

Keywords: Change-time hazard-rate model; Cumulative hazard function; Survival function; Metropolis-Hasting algorithm; Gibbs sample (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s13198-021-01601-1

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