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I'm trying to interpret a HR (Hazard Ratio) study done on smoking tobacco. The study looked at non-smokers vs. pipe tobacco smokers over the course of, like, 30 something years. For non-smokers, the HR was 1.0 (control group) For pipe smokers, the HR was 1.2 I'm interpreting this as "A pipe smoker is 20% more likely to get _some_ kind of cancer or complication due to pipe smoking, versus a non-smoker for that same cancer." But my question becomes: Is there a reliable HR study that shows non-smokers, pipe tobacco smokers, cigarette smokers, cigar smokers, and vape users? Thank you. Very easy to follow.

great explanation! thanks!

Brainstorming

Good

Marvellous

Nice

Good

Im glad I found this 2-part mini series!!! The explanation was simple, short and very informative :) Thank you!!!!

Absolutely amazing

Well explained tyank you

Thank you sir ❤

I am a PhD student studying Epidemiology preparing for my comprehensive exams and came along your video. Love how you put these concepts into REAL WORLD clinical issues. Thank you so much for the easy to understand and relevant info :)

Absolutely excellent explanation! Thank you so much!!

2 videos on NNT, but none on NNH?

Outstanding video. It has something in short supply today. Integrity.

Thank you

That’s amazing keep going

what a great video!

Great video!

Thank you, I'm so happy to have found you channel!

How Could I interpret or optimize a high value of HR in survival analysis (Exp : HR= 3.12e2, p=0.003)?

10 years later and this video is still incredibly helpful for us students. Thank you so much!

my subscription and like was just the least I could do to say thank you

Great

So simple, you are gifted. Thank you

Thank you so much for this 🙏🏾

I have struggled to understand this concept for ages , and in a couple of minutes you have cleared everyhing up. Thank you so so much

Perfectly explained

Hazard ratio with confidence interval with p value explain please

I don't get that, how can we go back in time in retrospective sudy?!

Many thanks from Wales for this concise and effective tutorial, from a struggling radiography undergrad

Amazing!!!!!!! It’s amazing how one of my fellow peers in my class broke it down and made it more simple to understand compared to my class instructor.

1000 patients with HIV infection with TB: 100 patients having relapse compared with 1600 patients who do not have HIV infection & 80 patients from that also having relapse of TB within 1 year of completion of treatment. Find odd's ratio of above samples

Why not just do a bursectomy

Haven’t been to a doctor yet but pretty sure I’ve got bursitis in my elbow, now probably going to just deal with it because I can’t stand needles

This was exactly what I was looking for. Thanks!

THANKYOU!

Well explained lesson sir! Helps me understands with clarity.

Looks like you forgot to subtract 1 from the specificity

How did you calculate if the effect modification was significance? Where does the p value come from?

how will you know which group is more precise based on the graph?

Thank you!

Thank you so much!

Dinostic plug gets know power

Thank you! Step 3 tomorrow. Hopefully I get all question correct. :(

Dr. Can you please help me out in a multi centre, two way cross over bioequivalence study when a group by treatment interaction is significant the how to do sub group analysis

Hello, thank you for the video! Do we do analysis of the patterns for any mechanism of missingness? If yes, what's the point of analysing type of missingness if we will run imputation?

Thank you 🙏