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A one-week course in survival analysis for the life sciences. Concrete examples and case studies are used to apply the theory to practical situations. Survival data, or more generally, time-to-event data (where the “event” can be death, disease, recovery, relapse or another outcome), is frequently encountered in the biomedical sciences. Censoring is a problem characteristic to most survival data, and requires special data analytic techniques.

The course provides an introduction into statistical methodology for life sciences and discusses a number of statistical techniques for practical data analysis. Concrete examples and case studies are used to apply the theory to practical situations.