1 citations · 2 across the 3 of their papers we have counts for
5 papers
pexm: a JAGS module for applications involving the piecewise exponential distribution
Vinícius D. Mayrink, João Daniel N. Duarte, Fábio N. Demarqui
In this study, we present a new module built for users interested in a programming language similar to BUGS to fit a Bayesian model based on the piecewise exponential (PE) distribu…
Generalized inverse-Gaussian frailty models with application to TARGET neuroblastoma data
Luiza Sette Câmara Piancastelli, Wagner Barreto-Souza, Vinícius Diniz Mayrink
A new class of survival frailty models based on the Generalized Inverse-Gaussian (GIG) distributions is proposed. We show that the GIG frailty models are flexible and mathematicall…
Bessel regression model: Robustness to analyze bounded data
Wagner Barreto-Souza, Vinícius D. Mayrink, Alexandre B. Simas
Beta regression has been extensively used by statisticians and practitioners to model bounded continuous data and there is no strong and similar competitor having its main features…
An Unified Semiparametric Approach to Model Lifetime Data with Crossing Survival Curves
Fabio N. Demarqui, Vinicius D. Mayrink, Sujit K. Ghosh
The proportional hazards (PH), proportional odds (PO) and accelerated failure time (AFT) models have been widely used in different applications of survival analysis. Despite their…
A fully likelihood-based approach to model survival data with crossing survival curves
Fabio N. Demarqui, Vinicius D. Mayrink
Proportional hazards (PH), proportional odds (PO) and accelerated failure time (AFT) models have been widely used to deal with survival data in different fields of knowledge. Despi…