Confounding vs Effect Modification I Simplest Explanation, with Questions

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USMLE Questions on confounding vs effect modification with a very simple explanation. #biostat #usmle #confounding

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I have an MPH degree but I haven't understood this so clearly until now. You're a good teacher! Thank you!

omiwolebukunmi

i spent hours trying to understand the difference between confounding and effect modifier
. your video explained the difference very simply and clearrly
Thank you so much. Keep up your good work!

島影ふじえ

Thank you so so much noor for this! Though I was a little confused till the very end but that Reye Syndrome example made everything clear! If you can add like 3-4 more examples they would really help. Best!

rediah

I’m going crazy with this topic now on Epi 2, thanks for making this video. In 9 minutes I understood more than reading the textbook.

gissellest

Such a great explanation. My particular case is funny because right now i'm doing a question from UWorld Qbank for Step 1 from Biostatistics and is exactly the same as your example. Thanks for the insights!

alvarobendezuherrera

Thanks a lot for the explanation. I got the exact question (4:00) in Uworld and your explanation made so much more sense.

naofaldasilva

I'm a student and I'm not sure if I'm right, but in the last example, if age was a confounder, we would see the same effect, and the results wouldn't differ between children and adults. So it's not just if we didn't see association.

farimahasghari

Wonderful clear and concise, well done

asdasdsadasdasddsff

I finally understand the concept. Thank you for simplifying!

suneetsandhu

Very much well explained. Truly grateful.

kshafmazhar

THIS IS REALLY GOOD. I can't believe I understand everything. THANK U

happygeeky

Can you tell me if this is right:

Confounding: The relation you see is not real, there is something else that is the actual cause of relation.
Effect Modification: The relation you see is real, but this relation will only be seen when a modifier is present/absent.

rediah

Loved it! Made more sense and last example of Reyes sx summarized it all. So to avoid confounding, do u use stratification? U hinted on it somehow. Thanks lots

solomonmpalanyi

Noor I'm so grateful to you, the Reye's syndrome example in the end really helped❤️

sharvarikailasmind

Very clear and thanks. but I still have a quick question. could we say there is no association between determinants and outcomes regardless of confounders? (which is mentioned at 8:52 in this video.) I think the etiologic research is interested in finding the causal relationship between the determinant and outcomes. The researchers have to try to eliminate the effect that the confounders make in the occurrence relation but should we say the opinion above?

babezhang