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 those deriving from national health registers, electronic medical records or clinical studies).
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.
Lectures will be interspersed with tutorials consisting of exercises, “journal club” sessions and workshops. In the workshops, participants may (i) develop and refine a study design to address a clinical/epidemiological research question or (ii) implement some method(s) on their own data in a supervised laboratory session.
Date and place: 9-13 September 2018. Ponte di Legno, Brescia, Italy
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
Full details on the course are on: http://www.summerschoolbicocca.com/statisticalps2018.php
Fees (in Euro) : it will be inclusive of teaching material, bus transfer, hotel accommodation and meals (from 9 to 14 September included).
1400 General participant
1300 IBS/SISMEC member
1100 PhD student
For registration go to: http://www.summerschoolbicocca.com/statisticalps2018.php
Deadline for registration: 31st May 2018
One scholarship will be provided for participation of PhD students. Modalities for application are explained in the web page.
Maria Grazia Valsecchi
Center of Biostatistics for Clinical Epidemiology, Department of Medicine and Surgery, University of Milano-Bicocca