- Knowing and understanding of the basic problems, concepts and methods of survival analysis (k1,k2)
- Knowing and understanding of the basic problems, concepts and methods of multistate and competing risk models (k1,k2)
- Fitting, model choice and residual analysis of regression models for survival and competing risk data with statistic software R (k3)
- Implementing and performing simulation studies for survival data (k2,k3)
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- Basic concepts for survival times (Survival function, hazard, cumulative hazard) and their relations
- Missing and incomplete information in survival data (Censoring, truncation)
- Estimation of the survival function (Kaplan-Meier estimator, Nelson-Aalen estimator)
- Log-Rank Test
- Regression models for Survival Times: Accelerated failure time model and proportional hazards model
- Residual analysis for Cox-PH models
- Time dependent covariates and time-varying effects
- Competing risk and multistate models
- Cumulative incidence function
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