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Research Article | Open Access

Dynamic multivariate quantile inactivity time and applications in investigation of a treatment effect

Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
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Abstract

To investigate potentially dependent lifetimes, it is necessary to extend the α-quantile inactivity time to bivariate and multivariate frameworks. To extend this measure to a dynamic multivariate framework, all possible trajectories at time t are considered. The behavior of the extended α-quantile of inactivity time was investigated in relation to the corresponding multivariate hazard rate function. The α-quantile of the inactivity order is defined and discussed for the multivariate case. The difference between the two bivariate α-quantile functions of inactivity, which is an important measure for studying the effect of treatment on lifespan, was also investigated. This measure was used to analyze the effect of laser treatment on the delay of blindness. Two bootstrap approaches were implemented to construct confidence bounds for the difference measure.

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AIMS Mathematics
Pages 30000-30014

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Cite this article:
Kayid M. Dynamic multivariate quantile inactivity time and applications in investigation of a treatment effect. AIMS Mathematics, 2024, 9(11): 30000-30014. https://doi.org/10.3934/math.20241449

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Received: 08 August 2024
Revised: 27 September 2024
Accepted: 15 October 2024
Published: 22 October 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)