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Excellent work.

04:00 "You cannot claim a causal relationship." Ohoho! A LOT of people who use adjusted epidemiology to make causal claims are NOT going to like this!

Thank you for the clarity you bring to these terms.

Great video

Thank you! I appreciate you going over this.

Thank you so much Mr. David. This one helped a lot to comprehend the difference and the importance of communicating the same in a specified manner. Really helpful 🙏

I binge watched about ten of these

this is so clear, thanks from a yank

Can you ple explain and compare the RR and OR together, I actually can differentiate between them in meaning 😢.

I loved it !

Helpful...thankyou

Isn't there an imbalance between the two groups since there are only 200ish in the depressed group and nearly 2500 in the non-depressed group? Is this why the odds ratio in the actual paper is adjusted?

From the way this guy talks I trust him as a teacher

Such a great explanation, reminds me of my 1st year uni Maths teacher - wonderful. thanks Prof.

2:03 "18% of WHAT?" 2:50 "expected frequencies: what it means for 100 people" (absolute risk, AR). This is the perfect video! Thankyou!

Thank you❤❤

Unless I'm not understanding this correctly, one fewer death per 100 in a country the size of the US would amount to 3 million fewer deaths over 10 years. That seems pretty significant to me.

Brilliant explanation.

Thank you very much for clear and awesome videos

That is good to know.

This explanation is by far the best. (if you ask me) Thank you!

You solidify my belief in the published stats that it is all misleading and bonkers

Thank you for this channel!

Nice. Subscribed

Is Absolute risk the same as Attributable risk? In the First Aid textbook for the USMLE step one exam they only mentioned Attributable risk and Absolute risk reduction but there is no Absolute risk, thank you

Some breast cancers would still have happened despite HRT as some are entirely hormone negative.

Great examples!

❤

Thanks for the explanation of OR.. that paper on depression.. according to the authors who tried to associate use of cannabis to depression.. what if those who use cannabis where already depressed..?

Results Individuals with ADHD had an increased risk for dementia and MCI. After adjusting for sex and birth year, a hazard ratio (HR) was 2.92 (95% confidence interval 2.40-3.57) for dementia, Can sombody please explain that to me In a very simple words since my English is not good please

Thank you so much! This helped a lot!

Taking sensationalism out of applied statistics is an important job for the wellbeing of the society at large. Sir David Spiegelhalter does it so well. Respect. P.S - You're the reason I became a statistician. Love from India.

I have been finding papers where they use first the word impact and then the word related like if it were synonyms. It's confusing to read it.

Excellent. Thank you so much <3

This was so nicely explained! you could sense the wisdom of the man from the way he was teaching.

Excellent discussion, many thanks to you all

This is perhaps the best explanation on Hazard Ratio out there !

Thank you so much. This was immensely helpful.

and I am off to my vigie sandwich because if one study said what it said, 800 studies complied by the WHO not too long ago, nailed this question forever. The more red meeet people eat, the more cancer...the risk is even higher for those consuming curated canned meats. Math and good common sense sometimes remind me of Einsteins' famous quote: "As far as the laws of mathematics refer to reality, they are not certain; and as far as they are certain, they do not refer to reality."

Great video, thanks! The RealRisk link you provide in your notes no longer works. Could you update it? Or did you discontinue the tool?

This video is like a box of chocolates, you never know what you're gonna get

Excellent video and explanation - thank you very much

Fantastic video and examples, thank you!

incredible. this guy and the folks behind it.

Hazard ratios are totally misleading. It all depends on your y axis. Increase your y axis by 3 times and watch the lines converge. So it is another example of relative vs absolute risk. Relative risk is used by everyone to sell you the results.

So how is this different frm risk ratio?

Can someone help me out please? When he calculated the RR, for the depressed group, how did the % become 15, when for the non depressed it was 5% if using the formula of RR?

Great. Now I understand.

🙌🏼

Well done! Thank you!