Wow! Thank you Dr.Eric!

wow, you really broke this down into its finer details- very cool! thank you!! ^_^.. not gonna lie, I did watch this veryy passively and somewhat as background noise/while multitasking/but still visually following along every now n then lol.. so.. I'll definitely be back for a more focused view :) - thanks sm for treating this just as you did and for not feeling the need to give into some weird youtube fodder (try-hard funny stuff??..). it can be a bit distracting and i feel, most often, out of place most of the time >_< .. so, definitely also very much appreciate that aspect!.. I'm new to your content and channel so I'm not sure if you're familiar with public speaking or know your way around delivering lectures and such.. but, having sat through a bad class or two.. lol, if neither of those were already in your wheel-house, then I'd say you definitely have a knack for it! Your pacing and delivery-the natural conversational tone with its natural ebbs n flows-really allow for an easy-listen and an un-stressed focus. (ykno, as opposed to too monotone, stark script reading, or unnatural pauses in odd places.)--... welp.. not sure how to end this now! lol..and i've gotten quite lazy lmao-- i/g in youtube or in internet fashion: k baiii ^_^

Is that a baby voice in background

How many times the speaker is swallowing his saliva,🙄 its irritating

Thank you for your valuable information

Thank you sir. Much appreciated here in Birmingham England.

Excellent and easy explanation ... It helped me a lot Thank you

Thank you very much for this video! I have no stats/medical background and I was able to get a general understanding about the purpose of Kaplan Meier curves and Hazard ratios. Your videos are so engaging and make a topic like this really interesting 🎉

Life-saver

Wonderful! Congratulations on the very didactic video!

Hi Eric! If I am testing a biomarker in diseased versus healthy individuals as a possible prognosticator, what is my Comparison? Is the population the diseased and the comparison the healthy? Or does my population consist of diseased and healthy individuals and there is no comparison?

Is the hazard ratio not a different test to Kaplan-Meier estimate?

Thanks man this video helped me a lot

Wow ! Definitely ONE of the Best Video I’ve watch on Biostatistics! Subject matter presented in a simple and succinct way ! Thank you so very much Dr McCoy! Please keep making those videos ! You are much appreciated ! 😊

Excellent video, well executed and engaging! Thank you so much

Please make more of these Dr. McCoy!!! You are a great teacher, almost fell into a trance haha. Very interesting research presented as well.

Wow explaining is crystal clear! Saved my finals (med student from Taiwan here~

You tube should allow for the opportunity to give more than one upvote in a genuine way. That was excellent!

thank you so much Dr. McCoy for explaining this topic in great details but still easy to understand! hats off to the best explanation video about HR on youtube!

Wow. Wow. Wow. Perfectly conveyed

Thank you so much for expalining a complex thing in a simple way....Thanks a ton!!!

Thank you so much Dr. McCoy. I remember you from the McMaster EBP workshop, so I am not surprise at all to see such an amazing explanation about the theme. I would be more than pleasure to see more videos about EBM explain by you. Best regards. Yesenia from Mexico

THANK YOU SO MUCH SIR........LOTS OF LOVE..........

Thank you！

Great explanation! Thank you!

Dr. McCoy, I wanted to know if ethnicity is an exposure for certain diseases(diabetes) from public health perspective. I know your video is about clinical exposures.

Thank you for this video. Its long but very worth it

@29:30 baby girl

You are a beast! one of the GOATs

wow!! amazing vid, you are the best...please make more vids

Thank you soooo much. It makes much more sense now!

Hi. Thank you for the useful videos. I would like to ask you : how to calculate... if I want to find the actual number of patients that experienced the event at 5 years ?

It is important to point out that the term 'probability' is often used, through technically incorrect to describe the likelihood of an event at a given time point t. Rather, it is the likelihood of event at time t conditional on the passage of time from observation start to t minus 1. But, great video.

Great explanation, thanks!

Thank you! Statistics is so hard for me to comprehend and connect clinically. You made it so easy!!

youtube should be paying this kind of vids more than music ones.

You are genius. Jajak Allahu akhair From Bangladesh

OMG this was amazing as a conceptual video. I got it down now just need to figure out the technical part on SPSS.

Amazing lecture! I have been struggling a lot on this matter, thank you very much Eric. Keep it up

PFO closure case final Tabulation dis mention Event per 100 patient-year; how does that factor to 0.58 for Recurrence of Ischemic stroke where its 18(3.6%) with overall 499 patients in that PFO closure group

could you explain regresion partitional analysis?

excellent , thank you so much

👍

Extremely helpful and intelligant explanation ... thanks Eric... keep flooding our knowlege with such fantastic easy material.

Perfectly described

Best video EVER!

Sir, thanks alot for coming up with such an awesome presentation, i couldn't believe myself that I've listened to the whole video without pausing ..... thanks again for making it so engaging :)

You mention at the 36 minute mark a link to a tutorial on inferential statistics, and particularly confidence intervals, but I don't see this anywhere, could you share this please?

Great teaching. I was appalled at the NHS paying God with cardiac arrest patients in UK. This is what happens with universal healthcare or blind trust in the government.

Thank you, Eric. At last, I get it!