… Diagnostic plot of Bayesian local influence analysis in real … semiparametric bivariate
dependent survival model, which is … , we propose a feasible Bayesian method simultaneously to …

… model and the background on the two cases. In section 3, we expound the related method
and principle of survival function, cox model, … For the heart failure case, we study the influence …

… and covariance models with … Bayesian case deletion diagnosis statistic is obtained to
identify data outliers. Simulation study and a real data analysis show that the proposed diagnosis …

… models are … , Bayesian estimation and Bayesian diagnosis statistics based on the KL
distance are obtained to identify outliers. Simulation studies show that the proposed Bayesian …

… method for assessing performance of tests and models … technique in survival analysis
is mainly related to models,in … Bayesian approaches to joinpoint regression for population…

… that the traditional model achieved the best diagnostic … model and were used for survival
analysis.For the classification between benign and malignant masses, the MRI radiomics model …

… system dynamics model was made to analyze the influence of … failure rate by using proportional
hazard model (PHM). Several … Fault diagnosis improvement using dynamic fault model in …

… influence of … survival analysis indi-cated that the mean survival time of NOTCH3-mutant
CRC patients versus that of NOTCH3-wildtype CRC patients was 35.55 vs. 17.03 months (hazard …

… This book provides an insight into survival analysis from … A Bayesian neural network
approach for modelling censored … has a major influence on outcome and survival. The disease …

… Hazard analysis of debris flows based on different evaluation units and disaster entropy:A
case … in Dongchuan as the research object, nine influence factors are chosen as the selected …