Field Epidemiology in a Changing World: Advancing Health amidst the Evolving Ecosystem and Technology
ILS 9 - De-confounding causal inference from observational studies
Mon, Sep 22
|Pullman 7
This workshop is designed for participants with a basic understanding of epidemiologic study designs and analysis. It will be conducted in the afternoon and follow a blended format, including lectures, demonstrations, and group exercises to enhance practical understanding.
Time & Location
Sep 22, 2025, 1:30 PM – 5:30 PM
Pullman 7, 4, Jalan Conlay, Kuala Lumpur, 50450 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
About The Event
ILS 9 - De-confounding causal inference from observational studies
Organizer: ICMR - National Institute of Epidemiology, Chennai, India
Maximum pax: 30
Venue: Pullman 7
BACKGROUND AND CONTEXT
Field epidemiologists play a critical role in producing evidence to inform public health decisions, where accurate data interpretation is essential. The credibility and utility of epidemiological findings depend on making the right causal inference. Confounding is an inherent threat to the causal interpretation of effects from observational epidemiological studies (cohort/case-control).