Survival Analysis

The course introduces statistical methods for survival analysis, that is, the analysis of studies where the outcome is a time-to-event. Measures covered are survival probabilities, survival percentiles, and rates. The methods include Kaplan-Meier survival curve, Poisson regression, Cox regression, Laplace regression. Modelling strategies include flexible modelling of quantitative predictors and interaction analysis. The concepts and methods are illustrated through real-life examples taken from medical, epidemiological, and public-health research. The emphasis is placed on interpretation and practical relevance. Guided, hands-on computer activities enable the participants to utilize the presented statistical methods.

Course leader

Nicola Orsini (Karolinska Institutet)

Target group

Physicians, clinicians and public health professionals from public and private institutions who are looking for systematic training in the principles of epidemiology and biostatistics, or epidemiology applied to health care planning and evaluation. They will acquire familiarity with epidemiological and biostatistical principles and techniques and with the computational tools needed to solve practical problems.

Students in biostatistics and epidemiology, and researchers both from public and private institutions who wish to increase their familiarity with quantitative methods or to deepen their knowledge of a specific area of interest, so they can more effectively address problems in health research. They will gain knowledge in modern, advanced methods useful for health professionals engaged in clinical practice, research and teaching.

Course aim

Emphasis will be placed on describing how epidemiological cohort studies can be analysed in the framework of survival analysis.

Credits info

It is possible to gain credits for the Summer School’s courses, but the decision is always made by the student’s own institution.

Fee info

EUR 1450: For University students: Registration before March 24th, 2019 €1,250. After March 24th, 2019 €1,450.
EUR 1650: General: Registration before March 24th, 2019 €1,450. After March 24th, 2019 €1,650.