2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2023★ 2 cited
Extended Excess Hazard Models for Spatially Dependent Survival Data
André Victor Ribeiro Amaral, Francisco Javier Rubio, Manuela Quaresma +2
Relative survival represents the preferred framework for the analysis of population cancer survival data. The aim is to model the survival probability associated to cancer in the a…
stat.ME2022
A Unifying Framework for Flexible Excess Hazard Modeling with Applications in Cancer Epidemiology
A. Eletti, G. Marra, M. Quaresma +2
Excess hazard modeling is one of the main tools in population-based cancer survival research. Indeed, this setting allows for direct modeling of the survival due to cancer even in…