20 citations · 33 across the 8 of their papers we have counts for
10 papers
Using the spsurv R package for semi-parametric time-to-event analysis
Renato Valladares Panaro, Vinícius Mayrink, Fábio Demarqui
We present spsurv, an R package for semi-parametric time-to-event regression based on Bernstein-polynomial estimation of unknown baseline functions. The package provides a unified…
A Class of Semiparametric Yang and Prentice Frailty Models
Cassius Henrique Xavier Oliveira, Fabio Nogueira Demarqui, Vinicius Diniz Mayrink
The Yang and Prentice (YP) regression models have garnered interest from the scientific community due to their ability to analyze data whose survival curves exhibit intersection. T…
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…
Identifying down and up-regulated chromosome regions using RNA-Seq data
Vinícius D. Mayrink, Flávio B. Gonçalves
The number of studies dealing with RNA-Seq data analysis has experienced a fast increase in the past years making this type of gene expression a strong competitor to the DNA microa…
A Bayesian hidden Markov mixture model to detect overexpressed chromosome regions
Vinícius Diniz Mayrink, Flávio Bambirra Gonçalves
In this study, we propose a hidden Markov mixture model for the analysis of gene expression measurements mapped to chromosome locations. These expression values represent preproces…
Sparse latent factor models with interactions: Analysis of gene expression data
Vinicius Diniz Mayrink, Joseph Edward Lucas
Sparse latent multi-factor models have been used in many exploratory and predictive problems with high-dimensional multivariate observations. Because of concerns with identifiabili…