The statistical methods for the analysis of the median and other percentiles of an outcome of interest are becoming increasingly popular in medical research. They provide great scientific insight and represent a useful alternative to other traditional methods when the latter may not be valid. The course offers an introduction to quantile regression and other related methods through a series of real-life examples from clinical and epidemiological studies. The focus is on interpretation and practical relevance. Based on lectures and computer activities, the course enables the participants to utilize quantile methods as simple tools for the analysis of outcomes of interest with emphasis on its flexibility in the presence of non-normal outcomes, outlying values, survival and longitudinal data.

Course leader
Matteo Bottai (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 gives an introduction to quantile regression and other related methods through a series of real-life examples with non-normal outcomes, outlying values, survival and longitudinal data from clinical and epidemiological research.

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