Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Marcos Vinicius de Oliveira Peres"'
Publikováno v:
Heliyon, Vol 6, Iss 6, Pp e03961- (2020)
In time-to-event studies it is common the presence of a fraction of individuals not expecting to experience the event of interest; these individuals who are immune to the event or cured for the disease during the study are known as long-term survivor
Externí odkaz:
https://doaj.org/article/345bdd798d784e0ab742ccb32cfb0aca
Autor:
Ricardo Puziol de Oliveira, Marcos Vinicius de Oliveira Peres, Wesley Bertoli, Jorge Alberto Achcar
Publikováno v:
Model Assisted Statistics and Applications. 18:45-55
The present study considers non-mixture models based on the discrete Burr XIII distribution to model recurrent event data in the presence of a cure fraction. In this context, we provide an alternative to the standard Cox proportional hazards model us
Autor:
Bruno Caparroz Lopes de Freitas, Jorge Alberto Achcar, Marcos Vinicius de Oliveira Peres, Edson Zangiacomi Martinez
Publikováno v:
Statistics, Optimization & Information Computing. 10:1168-1186
The statistical literature presents many continuous probability distributions with only one parameter, which are extensively used in the analysis of lifetime data, such as the exponential, the Lindley, and the Rayleigh distributions. Alternatively, t
Autor:
Ricardo Puziol de Oliveira, Marcos Vinicius de Oliveira Peres, Jorge Alberto Achcar, Edson Z. Martinez
Publikováno v:
Brazilian Journal of Probability and Statistics. 37
Autor:
Edson Zangiacomi Martinez, Bruno Caparroz Lopes de Freitas, Jorge Alberto Achcar, Davi Casale Aragon, Marcos Vinicius de Oliveira Peres
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Cure fraction models have been widely used to analyze survival data in which a proportion of the individuals isnot susceptible to the event of interest. This article considers frequentist and Bayesian methods to estimate the unknown model parameters
Autor:
Ricardo Puziol de Oliveira, Marcos Vinicius de Oliveira Peres, Edson Z Martinez, Jorge Alberto Achcar
Publikováno v:
Statistical methods in medical research. 31(12)
The present study introduces a new multivariate mixture cure rate model based on the Chen probability distribution to model recurrent event data in the presence of cure fraction. In this context, we provide an alternative for the use of some usual mo
Autor:
Ricardo Puziol de Oliveira, Jorge Aberto Achcar, Edson Zangiacomi Martinez, Marcos Vinicius de Oliveira Peres, Milene Regina dos Santos
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Bivariate lifetime distributions are of great importance in studies related to interdependent components, especially in engineering applications. In this paper, we introduce two bivariate lifetime assuming three- parameter Weibull marginal distributi
Autor:
Edson Zangiacomi Martinez, Bruno Caparroz Lopes de Freitas, Marcos Vinicius de Oliveira Peres, Jorge Alberto Achcar
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
In this paper, we introduce maximum likelihood and Bayesian parameter estimation for the exponentiated discrete Weibull (EDW) distribution in presence of randomly right censored data. We also consider the inclusion of a cure fraction in the model. Th
Autor:
José André Mota de Queiroz, Edson Zangiacomi Martinez, Jorge Alberto Achcar, Marcos Vinicius de Oliveira Peres
Publikováno v:
Journal of Data Science. 14:701-712
Publikováno v:
Biometrics & Biostatistics International Journal. 9:132-137