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The Destructive Zero-Inflated Power Series Cure Rate Models for Carcinogenesis Studies

Authors :
Rodrigo R. Pescim
Adriano K. Suzuki
Gauss M. Cordeiro
Edwin M. M. Ortega
Source :
Revstat Statistical Journal, Vol 20, Iss 5 (2023)
Publication Year :
2023
Publisher :
Instituto Nacional de Estatística | Statistics Portugal, 2023.

Abstract

In this paper, we propose a new flexible survival model called the destructive zero-inflated power series cure rate model. This new model describes a realistic interpretation for the biological mechanism of the occurrence of the event of interest in studies of carcinogenesis in the presence of the competing latent causes. The maximum likelihood method is used for estimating the model parameters. For different sample sizes, various scenarios are simulated to evaluate the precision of the estimates. The usefulness of the new cure rate survival model is illustrated by means of a cutaneous melanoma data set.

Details

Language :
English
ISSN :
16456726 and 21830371
Volume :
20
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Revstat Statistical Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.1d9cda0e8a6e47f987a1a4363320b5e5
Document Type :
article
Full Text :
https://doi.org/10.57805/revstat.v20i5.387