… Frailty is an important factor determining a higher risk of adverse … frailty as a loss of physical
functions or as accumulation of multiple deficits. Recently, a novel conceptual model of frailty …

… -death marginalized hazards and survival functions. We … frailty model so that the marginalized
hazard functions obey a specified model, such as the Cox model, that is free of the frailty …

… Generalised survival models were used in the survival analysis. … In this analysis, we found
that the frailty trajectories across 40 years before death differed by age at death, with all the …

… , we utilized a joint frailty-copula model describing the dependence between time to … survival
(OS) [9,10,28,29,30]. The joint frailty-copula model differs from the standard joint models for …

… Inspired by “Bayesian survival analysis with BUGS”,17 this tutorial aims to implement the
same survival models presented … So, we setup an INLA survival object and fit the frailty model: …

… of frailty trajectories for mortality over established survival predictors,[25] we further adjusted
the model … This subgroup analysis in1005 individuals (120 deaths) with data available on all …

… The well-established cumulative deficit model (2) depicts frailty as a state of risk due to a … a
continuous frailty index (FI) ranging from 0 to 1. A recent systematic review and meta-analysis (…

… survival prognostication. In this article, we review various cutting-edge methods that handle
survival … innovations in machine learning approaches for survival prediction. We cover the …

… the RUL under the reliability analysis in a frailty model. The proposed … frailty model was
selected to describe the failure behavior and compare it with the classical-exponential model…

… Compared to Cox regression models, the joint models used in our analyses allow for a
better monitoring of frailty trajectories by allowing to take non-linear within-person changes into …