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 ...

Consider a unit which can experience any one of k competing failure types, and suppose that for each unit we observe the time to failure, T , and the type of failure, C ∈ {1, 2, . . . , k}. The case of observing the pair (T, C) is termed “competing risks” in the statistical literature. After considering some examples we review basic notation and theory of competing risks. In particular we consi...