The only issue with the lung cancer example is the length of risk exposure. A person who is showing the signs of lung cancer whilst living in the city until their 60's could move to the country but still develop lung cancer in the next 10 years. Same could be in reverse for diseases (out of marriage pregnancy😆🤣). I know. Nothing is perfect.
ever so glad that the stats are back. these videos have been a saving grace when trying to understand concepts couldn't quite grasp from lectures. Hope you're safe and well with all that's going on. was wondering if maybe you might consider doing a video on the Tests of Equality of Two Variances? stay happy, and thankyou for all your help and guidance from this channel with navigating (plus enjoying) statistics :)
as a student of Epi, this was amazing! put so much together for me. thanks as always!! I loved your how to read the Stata output for the odds ratio. last quarter this channel has saved me in many exams!!!!
As alway, super sexy content. You make statistics so much fun. By the way, could you do a video on the Monte Carlo Simulation? I think I have understood the concept but I would love to seal my knowledge of teh contect with your simple insights. Thank you again, keep up the good work!!!!
Fascinating - especially the race based variation with covid positive test. Co-incidentally i just watched your confounding variable video and wondering whether is a socio-economic confounder that could explain blacks and hispanics having higher positives.
Happy to see you back with statistics topics. Your videos helped me clear my entrance exam. I hope it will help me to clear my mains in the next month too. Thanks a ton!
Hey! could you do a video on counting techniques? I am taking an actuarial exam soon, and am still having a hard time determining when to use permutations vs. combinations. I have tried the "does order matter" method and its not too helpful for me. I can never seem to tell if order matters or not...
So risk is basically a proportion ie proportion of TE in all single hand players for instance and odds is a ratio ie ratio of TE: no TE in all single hand players.
Very basic stuff to know! I like the common sense stuff that does need any knowledge prerequisites! The Greeks should have reported on this before they conceived the Zeno paradox... excellent low-hanging fruit! I'm glad I watched this video!
Hi. I need your help, can you help me, please? I need heko with linear regression, formulas are not working for me, let me explain. I am translating one python library to standard python. So when I tried to get t-value, from standard error of beta. I have zero intercept ordinary least square, and SE(b) should be s/sqrt(sum(x^2)), where s=sqrt( sum( resud^2 ) / (n-1) ) ( not -2 because of zero intercept ) x = 1, 2, 3 y = 7, 3, 5 beta = 2 s = 5.217 sqrt(SSxx) = 374.165 SE(b) = 1.394 what I should get is (library's solution) Se(b) = 0.98 Help me, please
BRILLIANT !!!. Thank you so much. No one explained this so beautifully. 😀Please make video on Positive / Negative Predictive Value and Likelihood ratios.
A note to the 1:20 mark, there's is also something called Relative Risk Ratios or RRR for short, so ppl need to be aware of which one they're actually using/reading
If you knew how much your videos helped me during the last years… You method is great!! Thanks for doing this videos. You are a close friend,even not knowing me 😂😂😂😂
Great video! It's also maybe worth mentioning that to intepret a relative risk or odds ratio in terms of the severity of an exposure, we should also take into the absolute risk/odds; the risk of dying from some exposure going from 0.001 to 0.002 is quite different to going from say 0.2 to 0.4.
I am so glad to have your lectures, clears up so many concepts. I wanted to check if you have lecture notes copy available either for free or by purchase?
Hey, thanks for that video. It was one of a kind explanation of a rather common and important topic in statistics. Do you have a video on HAZARDS RATIO?
Hey Justin! Big fan of your content, here is an idea, do one video regarding the connection between distributions viz., Bernoulli, binomial, poison, negative binomial, and central limit theorem
wonderful video. I really think you nailed the teaching style. Great use of research as well; this makes it a lot more tangible for people. I subscribed!
Really great videos - thank you - can you point me one that explains what inferential statistics to use for a categorical data from one sample - just looking at relationships between variables thank you
Shout out to Jacob N for inspiring an updated video here with extra audio about rare diseases.
Thank you Justin for keeping our brains operational by not putting the boring formulas...😄
Nntaleb posted a discussion of RR where is used a log normal distribution to show the RR as the tail ? Can you explain
This video is really helpful! Keep up the good work!
Hi. Congratulations. I suppose you got a mistake when shown OR = (a/b)/(c/d)=(a/c)/(b/d) at 12':06''.
The only issue with the lung cancer example is the length of risk exposure.
A person who is showing the signs of lung cancer whilst living in the city until their 60's could move to the country but still develop lung cancer in the next 10 years.
Same could be in reverse for diseases (out of marriage pregnancy😆🤣).
I know. Nothing is perfect.
ever so glad that the stats are back. these videos have been a saving grace when trying to understand concepts couldn't quite grasp from lectures. Hope you're safe and well with all that's going on. was wondering if maybe you might consider doing a video on the Tests of Equality of
Two Variances? stay happy, and thankyou for all your help and guidance from this channel with navigating (plus enjoying) statistics :)
as a student of Epi, this was amazing! put so much together for me. thanks as always!! I loved your how to read the Stata output for the odds ratio. last quarter this channel has saved me in many exams!!!!
Will you make an video in regards to age-adjusting and multivariate adjusting? :)
As alway, super sexy content. You make statistics so much fun. By the way, could you do a video on the Monte Carlo Simulation? I think I have understood the concept but I would love to seal my knowledge of teh contect with your simple insights. Thank you again, keep up the good work!!!!
Fascinating - especially the race based variation with covid positive test. Co-incidentally i just watched your confounding variable video and wondering whether is a socio-economic confounder that could explain blacks and hispanics having higher positives.
Happy to see you back with statistics topics.
Your videos helped me clear my entrance exam. I hope it will help me to clear my mains in the next month too.
Thanks a ton!
Hi, great job keep it up , I could not find prevalence , moderators and qalys vedios ????!
So clear! Thank you for making this video! I've searched far and wide, it's the first satisfying explanation!
new video! topic of new knowldge of the day
Hey! could you do a video on counting techniques? I am taking an actuarial exam soon, and am still having a hard time determining when to use permutations vs. combinations. I have tried the "does order matter" method and its not too helpful for me. I can never seem to tell if order matters or not...
Great! @5:14, "obese people have 2x the risk of stroke" ... can this be put in % terms?
Excellent presentation. Thank you. Pls continue.
So risk is basically a proportion ie proportion of TE in all single hand players for instance and odds is a ratio ie ratio of TE: no TE in all single hand players.
Does anyone know any good statistics or epidemiology book for heatlh sciences?
This is an amazing presentation!! Thank you
Very basic stuff to know! I like the common sense stuff that does need any knowledge prerequisites! The Greeks should have reported on this before they conceived the Zeno paradox... excellent low-hanging fruit! I'm glad I watched this video!
Hi. I need your help, can you help me, please?
I need heko with linear regression, formulas are not working for me, let me explain. I am translating one python library to standard python. So when I tried to get t-value, from standard error of beta. I have zero intercept ordinary least square, and SE(b) should be s/sqrt(sum(x^2)), where s=sqrt( sum( resud^2 ) / (n-1) ) ( not -2 because of zero intercept )
x = 1, 2, 3
y = 7, 3, 5
beta = 2
s = 5.217
sqrt(SSxx) = 374.165
SE(b) = 1.394
what I should get is (library's solution)
Se(b) = 0.98
Help me, please
BRILLIANT !!!. Thank you so much. No one explained this so beautifully. 😀Please make video on Positive / Negative Predictive Value and Likelihood ratios.
A note to the 1:20 mark, there's is also something called Relative Risk Ratios or RRR for short, so ppl need to be aware of which one they're actually using/reading
If you knew how much your videos helped me during the last years… You method is great!! Thanks for doing this videos. You are a close friend,even not knowing me 😂😂😂😂
Hello, are you from Australia?
Great video. Thanks
Great video! It's also maybe worth mentioning that to intepret a relative risk or odds ratio in terms of the severity of an exposure, we should also take into the absolute risk/odds; the risk of dying from some exposure going from 0.001 to 0.002 is quite different to going from say 0.2 to 0.4.
Thank you so much Zed! You're explaining things in such a clear and intuitive way, Im very greatful for your help :D
I am so glad to have your lectures, clears up so many concepts. I wanted to check if you have lecture notes copy available either for free or by purchase?
Hey, thanks for that video. It was one of a kind explanation of a rather common and important topic in statistics. Do you have a video on HAZARDS RATIO?
Please make comparing different medical studies with the type of statistics
Thanks for the video, my concepts are much much clear now!
Thank you so much for this video! It perfectly makes things clear that I didn't get from just studying the formulas from books!
Hey Justin!
Big fan of your content, here is an idea, do one video regarding the connection between distributions viz., Bernoulli, binomial, poison, negative binomial, and central limit theorem
Plz make a video on history of probability and different types of defining probability
wonderful video. I really think you nailed the teaching style. Great use of research as well; this makes it a lot more tangible for people. I subscribed!
Thank you zed...please also make video on hazard ratio...its use and difference and similarities with odds ratio and relative risk
Thank you! You helped me finally understand why RR cannot be used in Case-Control studies like no one ever could!
Really great videos - thank you - can you point me one that explains what inferential statistics to use for a categorical data from one sample - just looking at relationships between variables thank you
Thank you so much! it's very helpful information
All your video are really insightful... Can you please make a video on time series
That was great thanks
Thank you so much for this! I'm directing students to this video.
Thank you soo muchh
Thanks for the explanations, you were clear and easy to understand.
Hey can you go over time series regressions and Panel data?!
Thank you for this video! 😉😘
Love your channel. Thanks a lot!
29.12.22
Was very helpful.. Thanks
thankyou for these videos
Keep doing those videos!
this channel is really i want
this comment is really i appreciate