Basic quantities and models. Censoring and truncation. Non-parametric estimation of basic quantities, and maximum likelihood estimation of parametric models. Hypothesis testing םכ two or more samples. Cox proportional hazards and accelerated failure time regression models and their extensions. If time permits:  counting processes and martingales (in survival analysis), and competing risks.

Prerequisites: Introduction to probability, Theory of Statistics.