On a quest to understand medical evidence …

One of the biggest challenges in medicine and science is understanding correlation and causation.

Medicine has become increasingly evidence-based. But what does the evidence really say? Is a study signal or noise? Does enough correlation mean causation (e.g. smoking causes cancer)?  How much hope can we put on big data?

In the last few years, I’ve been on a quest to understand evidence. I am in the beginning stages–akin to a cat-4 bike racer.

Sometimes a piece comes along that really helps.

This one is long. You can’t read it while waiting in line for coffee. It takes time to digest it all.

But I think it helps explain the many biases of evidence.

It’s called Correlation, Causation and Confusion. 

(http://www.thenewatlantis.com/publications/correlation-causation-and-confusion)

JMM

Hat-tip to

Dr. Anish Koka  (@anish_koka) https://twitter.com/anish_koka 

Dr. Saurabh Jha (@roguerad) https://twitter.com/RogueRad