22 citations · 26 across the 4 of their papers we have counts for
6 papers
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…
Bayesian survival analysis with BUGS
Danilo Alvares, Elena Lázaro, Virgilio Gómez-Rubio +1
Survival analysis is one of the most important fields of statistics in medicine and the biological sciences. In addition, the computational advances in the last decades have favour…
SemiCompRisks: An R Package for Independent and Cluster-Correlated Analyses of Semi-Competing Risks Data
Danilo Alvares, Sebastien Haneuse, Catherine Lee +1
Semi-competing risks refer to the setting where primary scientific interest lies in estimation and inference with respect to a non-terminal event, the occurrence of which is subjec…