Thanks for the kind words. I wasn't sure whether people were liking the videos or not. Let me know if there's a specific topic that you'd like a video on. 😊
Hi, please can you share with me a video on steps involved in using SPSS to conduct principal component analysis on over 100 food items, to get at most two dietary patterns.
Thanks a lot, you explain this concept so clear and neat! I love it. Could you go deeper? for example, which OR is clinically significant? and which one is statistically significant at the 0.05 level?
That could get pretty technical, but thank you so much for your suggestion. Most of the time when you look at confidence intervals for the odds ratio or relative risk, you're really only concerned with one direction but the confidence interval gives you a two tailed test. Your idea makes me wonder if I should teach how to turn two tailed confidence intervals into one tailed confidence intervals and maybe write a little program to do it, and put it in the description. That's a pretty interesting video idea but would take me a little bit of time. Is that what you are getting at?
On the medical boards you’d want to use relative risk for prospective studies. But both can technically be used for prospective studies. But relative risk cannot be used in retrospective studies.
I'm a physician and review medical articles for consulting that I do. I wanted to review the interpretation for CI since it's been 30 years since I took college statistics. This video was the most helpful out of all the you tube videos that I've watched on this topic. It answered exactly the questions that I had re CI interpretation. I hope the statistician doing these videos continues to create more. I'd also like to know if there is a direct contact to send questions that i'd like answered or covered in a video. thanks again for an excellent explanation of CI interpretation. mjv
Thank you for your extremely kind words of encouragement. If there's another video you want I'd be happy to do it for you. Or even a few questions that you want answered that might be answerable in a video?
Thank you! I have taken multiple stats classes at the college and grad school level, but being out in the work force for 5+ years, I had gotten rusty. I recently switched to a more academically focused position & really appreciate the refreshers.
Hands down the BEST video I have come across to explain OR and 95% CI. This is exactly what I was looking for and you explained it brilliantly. Thank you, thank you, THANK YOU!
Its been over 40 years since I took stats in school. That was an a very succinct summary of some complex concepts. Thank you for making it easy for me to grasp the meaning of these important statistics.
I don´t even speak english (in daily basis) and I understood this waaaay better than in hispanic videos lol This is one of the most practical examples I´ve seen and the way you explain it´s so clear. Thank you so much!
Thank you soo much sir. I was really struggling with this topic in my epidemiology class. fewer calculations and more explaining are exactly what I needed. thank you.
There needs to be more statistics videos like this. Less calculations and more understanding the concept. I just hate being thrown formulas. This is good stuff. Thank you sir!
The funny thing is that for real stats, hand calculations are almost impossible. Tell your biostats prof you want to see her run through a logistic regression by hand to see if she really understands it. It'll never happen!
I got this just right on time when I'm struggling to understand OR and CI interpretations, I love your explanation , thank you very much. I'm a medical research student, watching from Kenya. Kindly recommend other similar videos to watch, regards.
As someone coming from taking multiple statistics classes in undergrad and now having to re-learn... Wish you were teaching those classes! Your passion shows. If not for statistics, teaching. Thank you!
this is very good. i have been suffering with my assignment but you have opened my eyes. keep up the good work. i really appreciate your well informative video
Thanks for uploading this video! It's really helped me navigate statistical analyses and being able to interpret findings. Even 4 years later, I appreciate it!
very intersting video, i'm so thankful. But i have question, sometimes, i find a very huge number in upper CI, like 1561646. What does it mean? Is this is because of covariance?
Impressive. Good explanation. You just fully explained a statistics question in MSc selection exam in my country (#SriLanka). Thanks a lot. I was clueless. Now I have understood the concept well enough. Tc #OddsRati and #ConfidenceInterval
Hello! Thank you for the great video :) Could I ask a question on how to write the interpretation in a correct format? (I am concerned about my statement not being accurate for use in exams as I am required to critically appraise statistic data in university - for example your video mentioned not to describe relationship as causation but to the data as association) For example: Vitamin D with OR = 0.71 and 95% CI is 0.68 - 0.84 Does that indicate that: vitamin D is a protective factor and it significantly decreases disease risk by 29%? Thank you for your help!
Yes, and if you wanna make sure you get full credit from your professor call it a “protective association” this way your professor knows that you are not trying to make a causal inference from a retrospective study. And you could put the word association in all capital letters or underline it or something like that. One of the biggest parts of introductory college statistics is to make sure the student knows the difference between associations and causations. Hope this helps. And thank you for watching my video!
@@collegestatistics I agree this video was extremely helpful. For me it helped refresh how to interpret the significance. I did have one question. As a pharmacy student who is often reviewing literature from randomized control trials. Often times odds ratios will be used as a result of logistic regression. Is the interpretation the same, and would causation be an appropriate conclusion given the study design?
It's unfortunate that some instructors want evidence classified as weak or strong because confidence intervals allow evidence to be classified as non-significant or significant, and that is more rigorous and validly interpretable. But thank you so much for watching and for the comment.
How do you add multiple odds ratios? Let’s say a patient has multiple risk factors for developing schizophrenia, each risk factor with a 2 fold possibility. (Ie having an older father, smoking cannabis, birth complications). Would you add them all together or multiple them?
That's actually a very sophisticated question and the answer depends upon whether the odds ratios in question are from a single study, multiple studies, or a well-designed meta-analysis. Basically, the whole idea is that the odds ratio will be used in a logistic regression model. and that model models the logarithm of the odds of a particular response such as classification for schizophrenia.
That was very encouraging and easy-going. While working on a research paper, I wanted to use the logistic regression. This video has been very helpful.Thanks
So glad you liked it! And I'm really glad people are starting to watch my channel. I don't have many viewers yet. If there's anything you want to video on feel free to ask.
@@collegestatistics I would appreciate if you could show us how to calculate p value and what is the significance of it in regards to the hypotheses. Thanks sir! I like how you actually show us the real examples and not just theoretically show what stats means. And due to the fact that many students havent been shown any examples is the reason why they actually fail to understand the topic and relevance of the stats when it comes to the researches. I think whatever topic you post up here, at least with some time many students will know the channel as you simplify the concepts!
Adjusted odds ratios is a simple idea and easy to do on the computer. All you do is include other variables in the logistic regression model. And then you are “controlling” for their effects. If you only had one effect in the model you would have a “raw” odds ratio. Once you put two or more effects into the model you now have adjusted odds ratios coming out of the logistic regression model. (Technically the logistic regression coefficients are actually the logarithm of the odds ratio, but that much technicality may not be relevant to your needs.) If I did a video with the title, “What are adjusted odds ratios?” Do you think I would get views? Because most of my videos don't get many views. And so I have slowed down in my production.
Thanks for the kind words. I wasn't sure whether people were liking the videos or not. Let me know if there's a specific topic that you'd like a video on. 😊
Hi, please can you share with me a video on steps involved in using SPSS to conduct principal component analysis on over 100 food items, to get at most two dietary patterns.
Very helpful! Thank you for putting this up, looking forward for more of your video. 👍👍👍
Yes sir kindly upload a video on logistics regression its components or example please ...... thankuu
Thank you so much for your video. The best odds ratio video ever!
Glad you enjoyed it!
Thanks a lot, you explain this concept so clear and neat! I love it.
Could you go deeper? for example, which OR is clinically significant? and which one is statistically significant at the 0.05 level?
That could get pretty technical, but thank you so much for your suggestion. Most of the time when you look at confidence intervals for the odds ratio or relative risk, you're really only concerned with one direction but the confidence interval gives you a two tailed test. Your idea makes me wonder if I should teach how to turn two tailed confidence intervals into one tailed confidence intervals and maybe write a little program to do it, and put it in the description. That's a pretty interesting video idea but would take me a little bit of time. Is that what you are getting at?
@@collegestatistics for me this question is, for example, “what is the difference between an odds ratio of - say - 0.2 and 0.8?
@@bob_the_bomb4508 It is impossible to see a odds ratios which takes negative sign.
@@mustafeibrahim-xx1fkthat’s not a negative sign. It’s a parenthesis around ‘say’
This was extremely helpful. Thank you.
You're very welcome!
thank you. excellent explaining
Glad you liked it
That was a great video. Thanks a lot. Can you upload a video on how to calculate the 95% CI, please?
Great suggestion! Working on that tonight!
This is AMAZING thank you
What if my study is cohort; will using OR and CI appropriate or not?
On the medical boards you’d want to use relative risk for prospective studies. But both can technically be used for prospective studies. But relative risk cannot be used in retrospective studies.
The explanation was on point! Thank you!!! I have been looking for a clear explanation with examples like this for months😭 THANK YOU!!!!
Thanks for watching!
I'm a physician and review medical articles for consulting that I do. I wanted to review the interpretation for CI since it's been 30 years since I took college statistics. This video was the most helpful out of all the you tube videos that I've watched on this topic. It answered exactly the questions that I had re CI interpretation. I hope the statistician doing these videos continues to create more. I'd also like to know if there is a direct contact to send questions that i'd like answered or covered in a video. thanks again for an excellent explanation of CI interpretation. mjv
Thank you for your extremely kind words of encouragement. If there's another video you want I'd be happy to do it for you. Or even a few questions that you want answered that might be answerable in a video?
Agreed! I watched like six before I stumbled across this one and I 95% confident I could explain this to someone as well :P
Well explained and very informative
You're a legend! Many thanks for the legendary explanations 🙌 🙏
No problem!
Thank you for this! This was the most practical and coherent explanation I found after watching other tutorial vids.
You're very welcome!
Thank you! I have taken multiple stats classes at the college and grad school level, but being out in the work force for 5+ years, I had gotten rusty. I recently switched to a more academically focused position & really appreciate the refreshers.
Great job! Thank you for that awesome comment!
Hands down the BEST video I have come across to explain OR and 95% CI. This is exactly what I was looking for and you explained it brilliantly. Thank you, thank you, THANK YOU!
You're very welcome! Let me know if there are any other topics you might be interested in. Because most of my videos have very few views.
Its been over 40 years since I took stats in school. That was an a very succinct summary of some complex concepts. Thank you for making it easy for me to grasp the meaning of these important statistics.
Glad it was helpful!
The best straight to the point explain ever on UA-cam!
I don´t even speak english (in daily basis) and I understood this waaaay better than in hispanic videos lol
This is one of the most practical examples I´ve seen and the way you explain it´s so clear. Thank you so much!
Wow, thank you!
Thank you soo much sir. I was really struggling with this topic in my epidemiology class. fewer calculations and more explaining are exactly what I needed. thank you.
You are most welcome
Omg thankkk u so much whoever u are. U r really helping me sir :")
I'll subscribe ur channel
Thanks and welcome
There needs to be more statistics videos like this. Less calculations and more understanding the concept. I just hate being thrown formulas. This is good stuff. Thank you sir!
The funny thing is that for real stats, hand calculations are almost impossible. Tell your biostats prof you want to see her run through a logistic regression by hand to see if she really understands it. It'll never happen!
Very nice. The same rule apply to relative risk for confidence interval?
Yes, exactly.
Well explained and very informative
When you are lucky enough to find vids like this... Statistics is a pleasure! Great explanation!
Thanks for watching and the kind words. My goal is always to share that statistics is an amazing subject.
Very clear explanation!!! Please make more videos.
will do!
I got this just right on time when I'm struggling to understand OR and CI interpretations, I love your explanation , thank you very much. I'm a medical research student, watching from Kenya. Kindly recommend other similar videos to watch, regards.
Happy to help. Good luck on your exams!
Me too !
Great explanation but id be interested to hear of diseases that are increased by exercise! You need to watch my Inside exercise podcast!!
Take up playing squash when you have an undiagnosed heart condition?
As someone coming from taking multiple statistics classes in undergrad and now having to re-learn...
Wish you were teaching those classes! Your passion shows. If not for statistics, teaching. Thank you!
Wow, thank you!
If we have 1 in the upper limit in CI, are the findings significant?
I would need a bit more detail in the question. Maybe put some numbers in it?
this is very good. i have been suffering with my assignment but you have opened my eyes. keep up the good work. i really appreciate your well informative video
Happy to help!
Excellent video, very easy to understand, Thank you
Glad it was helpful!
I have enjoyed the video. Thanks!
Thank you too!
keep working hard professor! see you in class
Thanks!
The best on internet for me❤
Thanks for commenting! (It helps the channel.)
Is there a video that explains interpretation of OR? This one is really helpful :)
Thanks for uploading this video! It's really helped me navigate statistical analyses and being able to interpret findings. Even 4 years later, I appreciate it!
You're very welcome!
I love a good UA-cam video, one beaming with personality! Immediately going into my Favorites folder.
Thanks for the support!
very intersting video, i'm so thankful. But i have question, sometimes, i find a very huge number in upper CI, like 1561646. What does it mean? Is this is because of covariance?
I'd need to see a screenshot.
Impressive. Good explanation. You just fully explained a statistics question in MSc selection exam in my country (#SriLanka). Thanks a lot. I was clueless. Now I have understood the concept well enough. Tc
#OddsRati and #ConfidenceInterval
You are most welcome!
Thank you
It is clear and short explanation. Thank you so much. I understand by all your 4 example so easily :)
Glad it was helpful!
thanks a ton, its an amazing explanation!
Glad it was helpful!
I could actually kiss you the interpretation has had me so confused BUT NOW IT MAKEAS SENSE THANKS!!!!!!
So happy to help!
非常感謝，我們是北京市中心醫院的一群醫生，我們感謝你們製作了精美的數學視頻，它幫助我們通過了執業醫師考試，並繼續我們美好的職業生涯，我們北京市中心醫院的醫生們，感謝你們的稱讚 擔任統計學家
I hope you become great doctors and help the quality of the lives of many!
What do you mean by odds ratio between 0.6and 1.1 were all compatible 1.0 ❓
I don't understand the 'compatible with one' part
Thank you
That interval captures the number one.
This helped me a lot in understanding the OR, thanks a lot for such a great explanation, I'm an African Student, watching this from Sudan.
Truly amazing that the Internet allowed me to share this material with somebody so many miles (or kilometers) away. I wish you success in all you do!
how can we interprate OR 1.10 wit CI of 95%( 1.00, 1.22) ? since the lower value is 1.00 can we say this is not significant?
If a bound hits one I'd wanna take a look at the P value. You'll be close!
Nice
Thanks!
Hey what is the inference if OR do not fall into CI?
A very nice explanation, I finally understood
Glad it helped!
The best explanation ever. Can u please explain how did you get that CI . Also can u make video on p values
I have a lot of P value videos in my hypothesis testing playlist.
Thank you very much, I was struggling until I found your video. keep it up =D
Glad I could help!
Best explanation!!!
Glad you liked it
Very helpful. Ty.
You're welcome!
Thank you so much! From all 10000 videos I found your explanation is a best one!
You're very welcome!
How does one interpret an OR 1.01 and Confidence intervals of (1.01, 1.02)?
Technically significant risk but with a tiny effect.
Wow very much appriciated. What a great way of explaning this topic. Thank you
You are very welcome
Thank you very much. I am just curious about science and now I can understand the research papers results better !
Glad it was helpful!
the best tutorial I have ever found on odds ratio and interpretation. thank you so much for the tutorial
You're very welcome!
Very much impressive
Hope I helped.
Well Done, this video has helped with my exams questions .
Bunch of thanks
Glad to hear that
thaaaaaaaank you cleear
no problem
Awesome explanation! Finally, I can 'connect the dots'! Thank you
Glad it was helpful!
Thank you so much sir, i'm doing my thesis right now and it really helpful!
Great!
Hello! Thank you for the great video :)
Could I ask a question on how to write the interpretation in a correct format? (I am concerned about my statement not being accurate for use in exams as I am required to critically appraise statistic data in university - for example your video mentioned not to describe relationship as causation but to the data as association)
For example: Vitamin D with OR = 0.71 and 95% CI is 0.68 - 0.84
Does that indicate that: vitamin D is a protective factor and it significantly decreases disease risk by 29%?
Thank you for your help!
Yes, and if you wanna make sure you get full credit from your professor call it a “protective association” this way your professor knows that you are not trying to make a causal inference from a retrospective study. And you could put the word association in all capital letters or underline it or something like that. One of the biggest parts of introductory college statistics is to make sure the student knows the difference between associations and causations. Hope this helps. And thank you for watching my video!
@@collegestatistics I agree this video was extremely helpful. For me it helped refresh how to interpret the significance. I did have one question. As a pharmacy student who is often reviewing literature from randomized control trials. Often times odds ratios will be used as a result of logistic regression. Is the interpretation the same, and would causation be an appropriate conclusion given the study design?
I liked the video. one suggestion, please use words like strong or weak evidence as these are used in exams.
It's unfortunate that some instructors want evidence classified as weak or strong because confidence intervals allow evidence to be classified as non-significant or significant, and that is more rigorous and validly interpretable. But thank you so much for watching and for the comment.
Thanks
Your Welcome!
How do you add multiple odds ratios? Let’s say a patient has multiple risk factors for developing schizophrenia, each risk factor with a 2 fold possibility. (Ie having an older father, smoking cannabis, birth complications). Would you add them all together or multiple them?
That's actually a very sophisticated question and the answer depends upon whether the odds ratios in question are from a single study, multiple studies, or a well-designed meta-analysis. Basically, the whole idea is that the odds ratio will be used in a logistic regression model. and that model models the logarithm of the odds of a particular response such as classification for schizophrenia.
@@collegestatistics the numbers are coming from multiple studies. So now what?
May I contact you? I need some help
Absolutely best explanation of OR ever !! Thank you
Glad you think so!
This is very useful. Thank you!
Glad it was helpful!
That was very encouraging and easy-going. While working on a research paper, I wanted to use the logistic regression. This video has been very helpful.Thanks
Would a video about adjusting odds ratios using logistic regression be helpful? In very general conceptual terms?
@@collegestatistics Yeah, it would be. I would be very grateful to you if you upload the video about adjusting odds ratios.
Really great explanations here. I can't thank you enough!
You're very welcome!
This is an amazing video! Thank you for your explanation :)
So glad you liked it! And I'm really glad people are starting to watch my channel. I don't have many viewers yet. If there's anything you want to video on feel free to ask.
This is more than helpful. Thank you so much for sharing:)
Glad it was helpful!
Ur the best teacher sir. After studying two years of stats, I now know that I knew nothing about this. 😂 thank you!!
And I just subscribed +1
Thank you so much for the compliment. Is there any topic you would like next?
@@collegestatistics I would appreciate if you could show us how to calculate p value and what is the significance of it in regards to the hypotheses. Thanks sir!
I like how you actually show us the real examples and not just theoretically show what stats means. And due to the fact that many students havent been shown any examples is the reason why they actually fail to understand the topic and relevance of the stats when it comes to the researches. I think whatever topic you post up here, at least with some time many students will know the channel as you simplify the concepts!
this is a great video. it has helped me in my Epidemiology assignment.
Thanks so much for letting me know. Most of my other videos get very few views.
So helpful for writing my review article😁
Fantastic!
Thank you, largely helpful
It was a clear explanation thanks for the video.
You're welcome!
The way u deliver is amazing ..keep it up!
Thanks a lot 😊
Awesome! This video is really helpful to me.
Thank you for watching and glad it was helpful.
Outstanding explanation, thank you a lot :)
Glad it was helpful!
good and clear explanation, thank you friend
You are welcome
Kindly explain adujsted and unadjusted odds ratio.
Adjusted odds ratios is a simple idea and easy to do on the computer. All you do is include other variables in the logistic regression model. And then you are “controlling” for their effects. If you only had one effect in the model you would have a “raw” odds ratio. Once you put two or more effects into the model you now have adjusted odds ratios coming out of the logistic regression model. (Technically the logistic regression coefficients are actually the logarithm of the odds ratio, but that much technicality may not be relevant to your needs.) If I did a video with the title, “What are adjusted odds ratios?” Do you think I would get views? Because most of my videos don't get many views. And so I have slowed down in my production.
This is such a helpful video. Thank you!
You're so welcome!
Thank you so much sir
thank you so much for this informative vedio
So nice of you
This is quite insightful.
Many thanks
Glad you enjoyed it!
simple and clear, thank you.
You're welcome!
Thank you
This is very helpful
Glad it was helpful!
Thank you so much. You are the best!
You're welcome! And thanks for watching.
very useful video. thank you
You are welcome. Thanks for watching.
Thank you. you are a great teacher in stats
I appreciate that!
this was actually amazing!
Thanks for watching!
Very useful. Thank you a lot!
Glad it was helpful!
Very helpful thank-you
Glad it was helpful!
Your teaching style is too good
Glad to hear that
Thanks aloooot!keep it up!
Thank you too
very clear explanation!
Glad to hear that! Many thanks!
This is so helpful! Thanks
You're so welcome!