22 citations · 26 across the 4 of their papers we have counts for
4 papers · 1 filter
Bayesian regularization for flexible baseline hazard functions in Cox survival models
Elena Lázaro, Carmen Armero, Danilo Alvares
Fully Bayesian methods for Cox models specify a model for the baseline hazard function. Parametric approaches generally provide monotone estimations. Semi-parametric choices allow…
Bayesian blockwise inference for joint models of longitudinal and multistate processes
Sida Chen, Danilo Alvares, Christopher Jackson +1
Joint models (JM) for longitudinal and survival data have gained increasing interest and found applications in a wide range of clinical and biomedical settings. These models facili…
Bayesian survival analysis with INLA
Danilo Alvares, Janet van Niekerk, Elias Teixeira Krainski +2
This tutorial shows how various Bayesian survival models can be fitted using the integrated nested Laplace approximation in a clear, legible, and comprehensible manner using the IN…
A tractable Bayesian joint model for longitudinal and survival data
Danilo Alvares, Francisco Javier Rubio
We introduce a numerically tractable formulation of Bayesian joint models for longitudinal and survival data. The longitudinal process is modelled using generalised linear mixed mo…