AIM: The overall aim of this course is to present approaches to statistical design and analysis that enable researchers to design more efficient epidemiological studies and to better utilize available data from well-defined cohorts (such as national health registers or electronic medical records). The course will compare and contrast different sampling designs and the various parameter estimates they can yield by careful “reconstruction” of the underlying cohort or extensions to the regression models used. In particular, the course will show how variations of the case-control design can produce efficient and unbiased estimates of the hazard ratio and other quantities, and how the concepts of matching from classical epidemiological studies can be extended to studies of continuous outcomes. The course will demonstrate the application of these methods in designing studies to make efficient use of costly data and to conduct more flexible and informative analysis.
WHEN: 9-13 September 2018 - Residential Course
WHERE: Ponte di Legno, Brescia, Italy
INFO: web site and course brochure
Prof. Marie Reilly, Karolinska Institutet, Dept. of Medical Epidemiology and Biostatistics
Prof. Chuen Seng Tan, Saw Swee Hock School of Public Health, National University of Singapore
COORDINATORS: Maria Grazia Valsecchi, Stefania Galimberti & Paola Rebora, Center of Biostatistics for Clinical Epidemiology, Department of Medicine and Surgery, University of Milano-Bicocca
REGISTRATION NOW OPEN. Deadline: 31st May 2018