Causality, association, correlation, random error, bias, and confounding

[@nichellejasper41]

This lecture cleared up a lot of confusion. It was exactly what I was looking for as a summary. Thank you!

[@HeyYall398]

This lecture is exactly what I was looking for! Thank you for sharing!

[@alhajimohamedkamara61]

Brilliant Lecture!!!. This lecture is one of the best I have seen online on Epi.

[@junoe983]

Never had such clarity and that is saying something as I am a very mature student😄 Thank you very much!!!

[@frankmukonchi765]

Excellent lecture....thank you

[@حسنمالكعراكعبودالمهداوي]

What a great lecture 🔥

[@lobzangdorji5490]

Very good lecture. I like it. Thank you.

[@ScienceandArtofPublicHealth]

Thank you appreciate you taking the time to make a comment. What in particular did you like?

[@bassamalsheakhly1889]

thank you so much ,,,,,, how can i watch the (( apply session )) please ????

[@ScienceandArtofPublicHealth]

Hi, I'm sorry, the apply sessions are in class sessions with my students, and I haven't made a video of them. Thanks for asking I will put your wish on my list of videos to make in the future.

[@imwoman3673]

Gems lecture

[@guymaloba5027]

Are all these teaching materials downloadable ?

[@ScienceandArtofPublicHealth]

Hi, No they’re not. Happy to share on an individual basis as it is simply a PowerPoint presentation.

[@siadabdiabi2406]

gifted lecture!

[@drabdiwalisiyad8614]

Very useful information

[@HeyYall398]

Just on the funny side, I'm married for 14 years and now I understand the reason - no margarine in our refrigerator!

[@lokutpaul7766]

Useful lecture

[@servicetothecross8914]

beautiful lecture 😍😍😍😍

[@ScienceandArtofPublicHealth]

Thank you, appreciate your feedback.

[@victoremmanuelajwang6432]

👍👍😊😊😊👍👍👍