When: 6 – 9 July 2020
Where: Florence
Modern time series methods for public health and epidemiology (4 days course)
Dr. Antonio Gasparrini, London School of Hygiene & Tropical Medicine, London, UK, Dr. Ana Maria Vicedo-Cabrera, University of Bern, Bern, Switzerland, and Dr. Francesco Sera, London School of Hygiene & Tropical Medicine, London, UK
Description: Time series analysis has become a key tool for epidemiological and public health research. In the last two decades, there has been an intense activity to develop more sophisticated study designs and statistical models for using time series data in health studies, with applications spanning various research areas. For instance, time series methods can now be applied for evaluating public health interventions, for assessing health effect associated to environmental stressors and climate change, and for quantifying beneficial or side effects of drugs or clinical practices.
This course will offer a thorough overview of established approaches and recent advancements in time series analysis for health research, including a theoretical introduction as well as practical examples in public health, environmental, clinical, cancer, and pharmaco-epidemiology. The sessions will cover standard time series designs for aggregated data, recent extensions for small-area and individual-level analysis, and applications involving state-of-the-art technologies such as remote sensing satellite measurements and real-time smartphone data.
The course will involve lectures followed by practical sessions using the statistical software R, to illustrate the use of time series analysis in various settings using real-data examples. While no previous knowledge on time series methods is expected, having basic experience on the use of R for epidemiological analysis is an advantage.
Read more and register here: https://eepe.org/specialized-1-week-courses
The courses are open to students of any nationality and efforts will be made to ensure the widest possible national representation.
