1 citations · 3 across the 10 of their papers we have counts for
11 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…
Survival Data Simulation With the R Package rsurv
Fábio N. Demarqui
In this paper we propose a novel R package, called rsurv, developed for general survival data simulation purposes. The package is built under a new approach to simulate survival da…
The Analysis of Criminal Recidivism: A Hierarchical Model-Based Approach for the Analysis of Zero-Inflated, Spatially Correlated recurrent events Data
Alisson C. C. Silva, Fábio N. Demarqui, Bráulio F. Silva +1
The life course perspective in criminology has become prominent last years, offering valuable insights into various patterns of criminal offending and pathways. The study of crimin…
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…
Semiparametric Modeling for Multivariate Survival Data via Copulas
W. D. R. Miranda Filho, F. N. Demarqui
We propose a new class of multivariate survival models based on archimedean copulas with margins modeled by the Yang and Prentice (YP) model. The Ali-Mikhail-Haq (AMH), Clayton, Fr…
Product Partition Dynamic Generalized Linear Models
Victor S. Comitti, Fábio N. Demarqui, Thiago R. dos Santos +1
Detection and modeling of change-points in time-series can be considerably challenging. In this paper we approach this problem by incorporating the class of Dynamic Generalized Lin…
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…
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…
Modeling the Association Structure in Doubly Robust GEE for Longitudinal Ordinal Missing Data
José Luiz P. da Silva, Enrico A. Colosimo, Fábio N. Demarqui
Generalized Estimation Equations (GEE) are a well-known method for the analysis of categorical longitudinal responses. GEE method has computational simplicity and population parame…
Doubly Robust-Based Generalized Estimating Equations for the Analysis of Longitudinal Ordinal Missing Data
José Luiz P. da Silva, Enrico A. Colosimo, Fábio N. Demarqui
Generalized Estimation Equations (GEE) are a well-known method for the analysis of non-Gaussian longitudinal data. This method has computational simplicity and marginal parameter i…