2 citations · 5 across the 12 of their papers we have counts for
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stat.ME2022
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…
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…
math.ST2022★ 1 cited
On a prior based on the Wasserstein information matrix
W. Li, F. J. Rubio
We introduce a prior for the parameters of univariate continuous distributions, based on the Wasserstein information matrix, which is invariant under reparameterisations. We discus…