Clearing Up Confounding

Watch this whiteboard tutorial describing confounding bias, its impact on epidemiologic studies, and approaches to detect it in research.

[@fatimahbahrami3714]

That was so clear and helpful. Thanks a lot!

[@mehakpawar3657]

Super clear. Great video - thank you!

[@lj2460]

Thank you for your explanation :)

[@abdullahalshumrany386]

You are a legend thank you for simplifying

[@inmednews]

Excellent example, and well produced video!

[@acerconsulting9454]

Thank you, we appreciate the feedback! You can see another video we did on Epi concepts here: th-cam.com/video/sXKcaVGtKDU/w-d-xo.html We created these after receiving feedback from students about difficult concepts. Would love to hear what other topics you might like to see turned into video!

[@shahdismailalqatu9711]

thank you sir ! I've been trying to understand this since like a whole month and now finally I got it!

[@acerconsulting9454]

Awesome! Happy to help!

[@orthopedicmbbs]

th-cam.com/video/7Y0cD_Vyt70/w-d-xo.html

[@GaylaRobinson]

Very helpful!

[@femidaelettil1002]

Thanks a lot sir

[@titarivera4655]

excellent!

[@claudiamariebermudez6727]

Thanks for sharing

[@theghost2274]

the example is fire

[@chockburst]

God blessyuh man

[@hayasoul]

Thank you 🙏 🙏🙏🙏🙏 this helped me a lot

[@acerconsulting9454]

You're welcome, glad it helped!

[@RexLabalan]

Wouldn't the example at 1:00 be a lurking variable because it was not considered?

[@gtmc]

Yes. The example given in the video is incorrect. Smoking is not a confounding variable but a lurking variable.

[@MK-cy9bi]

helpful thanks

[@acerconsulting9454]

Great, glad it was useful!