The course introduces the concepts and methods for the analysis of survival or time-to-event data. The concepts include censoring, cumulative incidence, median survival and other survival percentiles, and rates. The methods include life-table, Kaplan-Meier survival curve, log-rank and related tests, Poisson regression, Cox regression, Laplace regression, and flexible modelling of quantitative predictors. The concepts and methods are illustrated through literature reviews and 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
The course introduces the concepts and methods for the analysis of survival or time-to-event data. Topics include life-table, Kaplan-Meier, and popular regression models for survival analysis.

Fee info
EUR 1200: For University students: Registration before 31 March 2015 1,200. After 31 March 2015 1,400. EUR 1350: Registration before 31 March 2015 1,350. After 31 March 2015 1,550.

Scholarships
A limited number of Scholarships are available for current university students. Scholarships cover the cost of tuition, for at most one week. The request to be considered for a scholarship should be communicated no later than March 1, 2015.

Harvard University and Karolinska Institutet
Address: Department for Public Health, Karolinska Institutet Tomtebodav%C3%A4gen 18a, Stockholm, Sweden
Postal code: SE-171 77
City: Castello Brandolini Colomban, Cison di Valmarino - Treviso - ITALY
Country: Italy
Website: http://www.biostatepi.org/
E-mail: bioepiedu@ki.se
Phone: +46 73 6515825