… We generalized and extend existing popular Bayesian cross-validated influence diagnostics
using Bregman … Usually, in Bayesian survival analysis we access the assumption of the …

… of these factors which can influence the survival time of hypertension patients. … In this study,
the Weibull survival model has the smallest DIC, AIC and BIC in both classical and Bayesian …

… The current status censoring takes place in survival analysis … model validation diagnostic
that is simple to use in Bayesian … Our objective is to assess the influence of the stage of illness …

… 151 7.4 The notations used for each covariate that may influence the survival time of SNLG
… However, this strategy is hampered by the unavailability of clear diagnostics to identify which …

… a case deletion diagnostic to identify the potential influential … et al. 17 for Bayesian local
influence analysis under the model … We here consider a multivariate survival model for survival …

… to evaluate influence of the … the model described in “Spatiotemporal Modeling for Case
Event Data” section and localized concentration detection in “Local Concentration Diagnostics” …

… We also provide a code base for all of these survival models and evaluation measures, at …
: one is the time, corresponding to the time from diagnosis to a final date (either death, or time …

… Then all you need to do is to learn a few functions to run the Bayesian model and diagnose
the results (discussed in Section 3.4). To help readers become familiar with R coding, this …

… between Bayesian and frequentist models are provided. … Then, the survival analysis and
Bayesian statistics will be … Also, the frequentist and Bayesian formulations for the survival model …

… To this end, our analysis focuses on 355 MCI patients in the … to AD diagnosis among MCI
patients to be the survival event … 0.4–9.3) before AD diagnosis or censoring. Among them, 180 …