December 2022 Bayesian modeling for a new cure rate model based on the Nielsen distribution
Manoel Santos-Neto, Yolanda M. Gómez, Diego I. Gallardo, Eliardo G. Costa
Author Affiliations +
Braz. J. Probab. Stat. 36(4): 807-820 (December 2022). DOI: 10.1214/22-BJPS557

Abstract

In this paper, we proposed a new cure rate model based on the Nielsen distribution. This model has a simple form for the probability generating function, it includes as a particular case the logarithmic distribution and it is a proposal recently discussed in greater detail in the literature, so its application within the context of cure models is very attractive. The model is parameterized directly in the cure rate, facilitating the comparison among other cure rate models in the literature also parameterized in this term. The estimation is approached based on a Bayesian paradigm. A real data set is considered to illustrate the performance of our proposal.

Citation

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Manoel Santos-Neto. Yolanda M. Gómez. Diego I. Gallardo. Eliardo G. Costa. "Bayesian modeling for a new cure rate model based on the Nielsen distribution." Braz. J. Probab. Stat. 36 (4) 807 - 820, December 2022. https://doi.org/10.1214/22-BJPS557

Information

Received: 1 January 2022; Accepted: 1 November 2022; Published: December 2022
First available in Project Euclid: 21 December 2022

MathSciNet: MR4524522
zbMATH: 07644496
Digital Object Identifier: 10.1214/22-BJPS557

Keywords: long-term survival model , maximum likelihood , Nielsen distribution , reparameterization

Rights: Copyright © 2022 Brazilian Statistical Association

Vol.36 • No. 4 • December 2022
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