1 citations · 3 across the 10 of their papers we have counts for
8 papers · 1 filter
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…
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…