Contents.

Programme

Software

• Introduction to the time-series design.
• Basic concepts of time-series regression.
• Distributed lag non-linear models.
• Burden of disease due to environmental exposure.
• ​The case-crossover design for aggregated data.
• Health impact projections.
• The two-stage design for multi-location studies.
• Group work.

The course will include practical examples and exercises analyzing real data from environmental exposures (e.g., temperature, air pollution, dust, haze) in Asian cities using the statistical software R and R-Studio desktop.

Basic knowledge of epidemiological concepts, basic statistics, and the use of R and R-Studio would be desirable. Students should bring their own personal computers with the R and R-Studio software already installed.