Background and aims: Chronic kidney disease (CKD) is a public health challenge worldwide, with adverse consequences of kidney failure, cardiovascular disease (CVD), and premature death. Chronic kidney disease leads to the end stage of renal disease (ESRD), if late/not diagnosed. Competing risk modeling is a major issue in Epidemiology research. In Epidemiology study, sometimes inappropriate met...

background: including multivariate survival data can be pointed competing risks data. there are various methods to analyze such data such as semi-parametric methods of cause-specific hazard function, and cumulative incidence function. the aim of this study was to deploy competing risks model to analyze the determinants of patients with liver cirrhosis. materials and methods: during the one-year...

the aim of this study is to introduce a parametric mixture model to analysis the competing-risks data with two types of failure. in mixture context, i t h type of failure is i th component. the baseline failure time for the first and second types of failure are modeled as proportional hazard models according to weibull and gompertz distributions, respectively. the covariates affect on both the ...