… substantially influenced breast cancer treatment standards. We implement the proposed …
after stratification by estrogen receptor status and inclusion of age at diagnosis in the model, …

… of this distribution under the presence of this double influence, in this approach we consider
it … The bayesian procedures include several statistical diagnostic tests witch seek to assess …

… the influence of each crack on the resulting inference. The hierarchical Bayesian model has
been proposed for fatigue data analysis and … Fatigue tests of the single corroded wires were …

… 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 this distribution under the presence of this double influence, in this approach we consider
it … The bayesian procedures include several statistical diagnostic tests witch seek to assess …

… hazard models, such as the Weibull and the log-logistic models, is to include a large amount
of nonmonotone hazard … Some influence methods, such as the local influence and total …

… Bayesian case-deletion influence diagnostics via the K–L divergence for complex semiparametric
survival models and … on the influence diagnostics issue, this paper develops Bayesian …

… Using Bayesian methodology and Markov chain Monte Carlo … may play an influential role in
determining the survival time of … The analysis within this paper focuses on the diagnosis year …

… We propose a cure rate survival model by assuming that the number of competing causes of
… of model adequacy, we develop diagnostic studies to detect possible influential or extreme …

… Bayesian inference for the AFT-RMW model under the weakly … of influential observations.
If the calibration index for observation i is much larger than 0.5, it is declared an influential …