6 citations · 8 across the 4 of their papers we have counts for
4 papers
Individual frailty excess hazard models in cancer epidemiology
F. J. Rubio, H. Putter, A. Belot
Unobserved individual heterogeneity is a common challenge in population cancer survival studies. This heterogeneity is usually associated with the combination of model misspecifica…
The Delta-Method and Influence Function in Medical Statistics: a Reproducible Tutorial
Rodrigo Zepeda-Tello, Michael Schomaker, Camille Maringe +5
Approximate statistical inference via determination of the asymptotic distribution of a statistic is routinely used for inference in applied medical statistics (e.g. to estimate th…
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…