Correlation Is Not Causation, Wink, Is Not Good Enough for Observational Research The Bob Harrington Show

Cardiology researchers Bob Harrington and Bobby Yeh discuss how to do better observational research and the controversial notion of making causal inferences from such data.
This podcast is intended for healthcare professionals only.
To read a transcript or to comment, visit https://www.medscape.com/author/bob-harrington
Academic Cardiology and Social Media https://doi.org/10.1161/CIRCOUTCOMES.118.004736
Bringing the Credibility Revolution to Observational Research and Cardiology https://doi.org/10.1161/CIRCULATIONAHA.123.064645
Cardio Twitter: An Essential Tool for Staying Current https://www.medscape.com/viewarticle/897512
Identification of Causal Effects Using Instrumental Variables https://doi.org/10.2307/2291629
Explaining Charter School Effectiveness https://www.aeaweb.org/articles?id=10.1257/app.5.4.1
Methods of Public Health Research - Strengthening Causal Inference from Observational Data https://doi.org/10.1056/NEJMp2113319
Publish or Perish and the Incentive for Quantity over Quality Research Papers https://www.medscape.com/viewarticle/998417
You may also like:
Hear John Mandrola, MD's summary and perspective on the top cardiology news each week, on This Week in Cardiology https://www.medscape.com/twic
Questions or feedback, please contact news@medscape.net