Estimation of the Modified Weibull Additive Hazards Regression Model under Competing Risks

The additive hazard regression model plays an important role when the excess risk is quantity of interest compared to relative risks, where proportional better. This paper discusses parametric analysis survival data using hazards with competing risks in presence independent right censoring. In this paper, baseline function parameterized a modified Weibull distribution as lifetime model. parameters are estimated maximum likelihood and Bayesian estimation methods. We also derive asymptotic confidence interval Bayes credible unknown parameters. finite sample behaviour proposed estimators investigated through Monte Carlo simulation study. applied liver transplant data.