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

Autor:	Rodrigo R. Pescim, Adriano K. Suzuki, Gauss M. Cordeiro, Edwin M. M. Ortega
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	Cure rate model Destructive cure model Simulation study Survival analysis Weibull distribution Zero inflated power series distribution Statistics HA1-4737 Probabilities. Mathematical statistics QA273-280
Zdroj:	Revstat Statistical Journal, Vol 20, Iss 5 (2023)
Druh dokumentu:	article
ISSN:	1645-6726 2183-0371
DOI:	10.57805/revstat.v20i5.387
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/1d9cda0e8a6e47f987a1a4363320b5e5 Zobrazit plný text záznamu View record in DOAJ