Epidemiology is full of patterns, but public health decisions require causes. This episode explains how causal inference helps move from association to intervention, using tools like DAGs and target trial emulation to design clearer, more trustworthy answers from observational data.

👉 Enjoyed the episode? Follow the show to get new episodes automatically.

If you found the content helpful, consider leaving a rating or review—it helps support the podcast.

For business and sponsorship inquiries, email us at:
📧 [email protected]

Youtube: https://www.youtube.com/@BJANALYTICS

Instagram: https://www.instagram.com/bjanalyticsconsulting/

Twitter/X: https://x.com/BJANALYTICS

Threads: https://www.threads.com/@bjanalyticsconsulting