1 citations · 1 across the 3 of their papers we have counts for
4 papers
MEGH: A parametric class of general hazard models for clustered survival data
Rubio, F. J., Drikvandi +1
In many applications of survival data analysis, the individuals are treated in different medical centres or belong to different clusters defined by geographical or administrative r…
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…
On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables
Francisco J. Rubio, Bernard Rachet, Roch Giorgi +2
In cancer epidemiology using population-based data, regression models for the excess mortality hazard is a useful method to estimate cancer survival and to describe the association…
On a general structure for hazard-based regression models: an application to population-based cancer research
Francisco J. Rubio, Laurent Remontet, Nicholas P. Jewell +1
The proportional hazards model represents the most commonly assumed hazard structure when analysing time to event data using regression models. We study a general hazard structure…