Students will learn to critically evaluate the pitfalls of observational studies and of imperfect experimental studies, in particular all possible biases that can arise. Students will learn analytic tools, based on causal diagrams and new statistical models, that can help squeeze as much evidence as these imperfect studies carry about the causal effects of interventions, treatments and/or exposures of interest.
Period
18-06-2012 - 23-06-2012 (1 weeks)
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. 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.
Course aim
Students will learn to critically evaluate the pitfalls of observational studies and of imperfect experimental studies, in particular all possible biases that can arise.
Credits
0.0 ECTS credits
Course fee
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.
The registration fee includes only the course tuition. Fees depend on whether the applicant is currently a student at an accredited university, or not, number of weeks, and the timing of enrollment.
Course leader
Andrea Rotnitzky (Harvard University and Universidad Di Tella)
Scholarships
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.
Harvard University and Karolinska Institutet
Address: Aging Research Center, Karolinska Institutet Gavlegatan 16, Stockholm, Sweden
Postal code: SE-113 30
City: Castello Brandolini Colomban, Cison di Valmarino - Treviso - ITALY
Country: Italy
Website: http://www.biostatepi.org/
E-mail: bioepiedu@ki.se
Phone: +46 8 690 5368
Causal Inference
