Video

thank you so much

TIL: prevalence is measured as a conditional probability!

Thanks for making this available. I find the difference between analytic and descriptive studies interesting, and it makes me wonder about how different disciplines make these distinctions.During my PhD (in geography) I had learned that analytical studies used techniques with a clearly specified dependent and independent variables, whereas descriptive studies did not. I think I like your epidemiological/environmental health approach better, because it also incorporates experimental design (something we never had given our reliance on observational and not experimental data).

Grand

Thanks

You stole 10 minutes from my life.

Excellent lectures , I keep watching every now and then, and I wish you could make new lectures

Thank you so much

Thanks you ❤

Thank you so much for explaining ❤️❤️ anyone else from 2024 😍??

Hi Elizabeth, Thank you for making this helpful video, I was looking for these two articles, mentioning the relationship bwn the obesity and diabetes, but didn't find that. Could you please send that for me? I will need both the first example and second one

Poor explanation

why did she explain this in >5 min what my prof took 2 weeks confusing us on

I am watching it in 2024🎉🎉🎉🎉🎉

So is this basically Simpson's paradox? Where the overall trend is opposite of the trend within each category?

Peace on You. Thank You very much 🎉

I just dont understand why i just found you one day before my exam 😭

Soooo soooo good

Great videos!

Last two examples confused me again . Its not an easy task when you are doing confounding, mediation and interaction simultaneously

Thank you so much for this video🎉❤

Well explained. Thanks 👍

Best video i came across so far

Meow 😻

Thank you!! Very excellent video

Very helpful ❤

10 years but the information is still productive now thanx

U helped me coz i dodged this lecture

Because the outcome is rare does that mean 1.11 is a big increase in risk

A was confused but now I'm more confused.. I can't watch anymore...Bye

clearly explained.

😭😭😭TYSM YOURE AMAZING 😍😍

مفيد جدًا، شكرًا

thank a lot for that explaination 😮

Thank u teacher

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🌹🌹🌹❤❤

This is still helpful, thanks for sharing

Thank you so much, such a helpful and simple video.

Very helpful! Thank you. I loved the stick figures smoking.

thank you mam

Thanks for great video, just would like to say that to measure a risk of a given exposure ,the outcome should not be in the population of both groups I.e. exposed and non exposed, but it will happen overtime

thank you

Well done

Why the fuck did I spend 5 minutes of my life watching this video that promised me the explanation of COVARIATION and the woman is talking about CORRELATION ONLY!!!!???? I wish you all the worst 👹

<3

Can you explain about blocking variable in statistics, please?

Excellent 👌👍

I think a confounding variable is an extraneous variable (non-treatment) variable which we are not testing in our experiment / study but it (the confounding / extraneous variable) has an effect on the response variable. I will be glad if I'm corrected but that's how I understand this concept. Thank you from Uganda East Africa