16 June 2012
Applied Longitudinal Analysis
This course focuses on methods for analyzing longitudinal and repeated measures data. The defining feature of longitudinal studies is that measurements of the same individuals are taken repeatedly through time, thereby allowing the direct study of change over time. This type of study design encompasses epidemiological follow-up studies as well as clinical trials. The course covers many well-established methods for the analysis of longitudinal data when the response variable is continuous. Methods for discrete response variables (e.g., repeated binary responses and counts) are introduced, but not emphasized. An introductory course in biostatistics and a good background in linear regression analysis are prerequisites for this course.
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.
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.
This course focuses on methods for analyzing longitudinal and repeated measures data. This type of study design encompasses epidemiological follow-up studies as well as clinical trials.
EUR 1: For Students. Registration before 31 March 2012.
After 31 March 2012 €1,350.
EUR 1: Registration before 31 March 2012.
After 31 March 2012 €1,450.
A limited number of Scholarships are available.
Scholarships cover the cost of tuition, for at most one week. Only registered students may apply. The request to be considered for a scholarship should be communicated no later than March 1, 2012.