… We specifically focus on a special hyper-Poisson distribution and then develop the
corresponding Bayesian simulation, influence diagnostics and an application to real dataset by …

… Moreover, we propose an influence diagnostic approach from the Bayesian point of … model.
In the application to a melanoma data set, we discovered that the logarithmic cure rate model …

… Davies and others 1 demonstrated the influence of model … model, it is clear that the original
survival model and analysis … Davies and others 1 (age, sex, and initial diagnosis). For this …

… 2, we formulate the survival model with cure fraction based on Negative … on a Bayesian
framework for the proposed model. Moreover, we propose a Bayesian case influence diagnostic …

… Bayesian analysis for the BS model has appeared in the … Bayesian approach for drawing
inferences in GBScr models … Also, we develop case deletion influence diagnostics for the …

… is widely undertaken, the development of diagnostic tools for the models has received less
… univariate survival regression to derive influence statistics for the multivariate survival model. …

… , we address case influence in a challenging survival analysis study. … Bayesian Survival
Analysis In this section, we apply the proposed diagnostic procedures to evaluate case influence …

… Thus, we develop a new survival model induced by discrete … factors as well as developing
case influence diagnostics for the … of case influence diagnostic Bayesian tools for the model …

… Event Precedence Analysis (CEPA), which is a nonparametric Bayesian approach suitable
for … This analysis revealed a typical diagnostic sequence, starting with respiratory diseases, …

… For this case, we compared the performance of the algorithms. Comparison was based on
… survival model based on the AMH copula with Weibull marginal distributions. The Bayesian …