This is the most straight forward, easy and simplest explanation that I have found thus far...THANK YOU SO MUCH! I figured it out in the first minute let alone in 3. Why can't my lecturers be this simple
Great, clear, conscience explanation. I’m glad you took the time to explain the difference between the predictive values and sensitivity without over complicating it.
I have also looked at many videos to understand sensitivity and specificity and yours by far was the simplest and easiest to understand! Thank you so very much!
Wow, really useful. This video really solved my confusion why choose (TP+FN) as the denominator of sensitivity. "So, that, it's not affected by the prevalence of the specific disease." Thank you!!!
This was very easy to understand, I had a lecture this morning about sensitivity, specificity and PPV and NPV it was unclear now I understand it clearly. Thank you
Thank you so much for this amazing video! Very straight-forward way of explaining a concept that is is otherwise presented in a different language in class :) The differentiation between sensitivity/specificity and +/- predictive value: Extremely helpful; never thought about it like that. Thank you!!!
Just when I thought I was facing rubbish-throwing nursing/midwifery/paramedic students tomorrow (again).. predictably Greg Martin comes up with the perfect
Global Health with Greg Martin I have an assignment on age standardisation ratios and i saw someone asked you to make a video on that. I understand that you obviously cant help me directly with the assignment you know, academic integrity and all but if you can make give me a link to some good sites that would be good. The problem with the question in my assignment is there is just one population group and i dont know whether i'm meant to make up my own standard population. anyway i loved your other video on cohort and case study. your students are lucky to have you.
Hi Greg, Amazingly explained in simple words. Fantastic! Would you please recommend any other 3-minute video of yours or others on Negative and Postive Predicted value. This i couldnt understand from the last one minute of yours. Thank you!!!
Hello Greg, I have a question. If the test is not 100% accurate, then how do you know the total number of people who actually have or do not have a disease?
Thank you, like the few minutes explanation to the topic,, thank you Can you relate to what the positive and negative predictive value of the test will add to our explanation of the sp and sn of the test. I believe in your style (simple and clear)
I don't know why this topic was so difficult for me to understand. I am in a practicum course at my uni and I could understand most things but not this! Thank you so much
Hi, many thanks for your brilliant videos, exceptionally good explanations. Do you have any chance to explain how to do data analysis, particularly how to select appropriate tests like chi-square, t-test, paired t-test, anova etc.?
Thanks for the question brrrr4 - I have done a few videos on data analysis (but haven't yet covered the topics that you suggested). I will certainly be doing more and will cover the areas that you've indicated. In the interim, you can go to my How to Find and Use Data playlist and see what I've done so far: ua-cam.com/play/PLujS9ooBebKVqwKXDqdqMqkwb1EKl4FM6.html
Hi Greg, Many Thanks for your extremely quick response and your brilliant suggestions. I am looking forward to learn further from you, you have got talent on teaching.
Thank you for your useful video.I have a question please let me lnow if you know the answer.What is the meaning of Specifity in multi confusion matrix., in 3*3 matrix for example
+Lobat Vetr Thanks for the question. Unfortunately I don't know the answer off hand but will see if I can find more information. Sorry that I couldn't be more helpful at this time..
It was a nice explanatory video, but what happens if we reverse the disease and test axis ... like disease on y axis and test on x axis ... would the things be the same ?? Kindly explain this big query of mine. Regards
Thanks for the question - if you swap the axis' around it won't make any difference in principle. The trick is to make sure that your numerator and denominator are always carefully thought through. So, for Sensitivity, you're always going to want to have the true positives as your numerator (those that are positive and test positive) and all positives as your denominator (everyone that is positive regardless of how they test). Hope that helps.
Hi Ashek - thanks for the question - sorry, I don' have the text but will be writing a book that includes this content at some point in the near future.
If I tested positive for gonorrhea, forgetting skewing inputs ie did I visit a whorehouse yesterday? etc., wouldn't the ratio of concern be false positives/all people positive. In your example, 3/70~4.3 %chance the test is false? This would seem a more clinically relevant measure.
This is the most straight forward, easy and simplest explanation that I have found thus far...THANK YOU SO MUCH! I figured it out in the first minute let alone in 3. Why can't my lecturers be this simple
+Coco Bongo Thanks for the comment!
This guys is awesome. Lectures are idiots.
I agree, this was a exceptional summary of the salient features of these commonly used statistical methods.
wow seriously more helpful than my 12 minute lecture and the other youtube videos ive come across. thanks a lot!
Best video I´ve come across on the subject!
Wow, thanks!
Great, clear, conscience explanation. I’m glad you took the time to explain the difference between the predictive values and sensitivity without over complicating it.
I have also looked at many videos to understand sensitivity and specificity and yours by far was the simplest and easiest to understand! Thank you so very much!
Thanks Rebecca - that's very encouraging! Glad you liked it!
You're the greatest of all time my friend. I'm going to say a long prayer for you tonight and wish you blessings on blessings.
Thank you for sharing and posting! This is short, to the point and easy to understand.
+MARTINA EFEYINI Thanks!
Excellent. Just the level and depth of detail that I need briefly. Thanks!
OMG, sir i owe you so much. This is the first time i deeply understand this topic.
Thanks Greg Martin. i learned from you so many things since the last four years, perfectly explained.
play it at 0.75 playback speed.....youre welcome :)
You're absolutely right, thanks 😂
Wow, really useful. This video really solved my confusion why choose (TP+FN) as the denominator of sensitivity. "So, that, it's not affected by the prevalence of the specific disease." Thank you!!!
Glad you found it helpful Zeki!! thanks for the feedback.
Oh my gosh, I almost had an aneurysm trying to figure this out by myself. Thank you so much for making it so simple!
So glad it helped, thank you for your amazing feedback!
Best video!!!! I've been reading and trying to understand those terms forever and I got it now... in 3 mn! Thank you Greg!\
You are most welcome! Glad that I could help!
This was very easy to understand, I had a lecture this morning about sensitivity, specificity and PPV and NPV it was unclear now I understand it clearly. Thank you
Glad I could help Ray - thanks for the feedback!
Thank you so much for this amazing video! Very straight-forward way of explaining a concept that is is otherwise presented in a different language in class :) The differentiation between sensitivity/specificity and +/- predictive value: Extremely helpful; never thought about it like that. Thank you!!!
Glad that you found it helpful Dena! thanks for the comment!
Just when I thought I was facing rubbish-throwing nursing/midwifery/paramedic students tomorrow (again).. predictably Greg Martin comes up with the perfect
Patricia Schwerdtle thanks very much for the comment !!! you are too kind.
You totally answer and interpret a confused topic clearly!
Glad I could help
Crisp and clear explanation. Nicely done.
Thanks for watching!
Hi just wanted to say this video is a life saver. It was really simple and easy to follow. thank you.
Penda Namundjebo thanks for the comment - that is very kind of you to say. Please feel free to send me any suggestions re future content.
Global Health with Greg Martin I have an assignment on age standardisation ratios and i saw someone asked you to make a video on that. I understand that you obviously cant help me directly with the assignment you know, academic integrity and all but if you can make give me a link to some good sites that would be good. The problem with the question in my assignment is there is just one population group and i dont know whether i'm meant to make up my own standard population.
anyway i loved your other video on cohort and case study. your students are lucky to have you.
Penda Namundjebo hi there -thanks for the reminder - I'll put together a video on Standardisation very soon
Thank you. This is the clearest explanation I found.
Glad you liked it. Thanks for the feedback.
I can't believe I almost never knew that. Well done!
Best understandable sensitivity and specificity video ever, thank you so much...
You are most welcome Muzdalifa
I needed this refresher. Thank you!
You're most welcome. Do let me know if there are other topics that you'd like me to cover.
subscribed specifically because I liked your sign off phrase.
haha - well that is as good a reason as any - thanks for subscribing! Hope you enjoy the videos...
Dare I ask? Oh, why not... please consider an episode explaining Direct & Indirect Standardization. Thank you sir. Love your channel!
Thanks for the suggestions Jimilee Kalu - great idea. I'll do something on that soon for sure!
Great explanation!! Absolutely useful, 3 mins video, thank you!
Glad it was helpful!
Thorough, clear, and easy explanation. Thanks!
+Emmanuel Awdishu glad you liked it - thanks for the feedback.
best explanation so far, finally i understood the concept.
I'm so glad Vijay! Glad that I could help.
Thank you very much ....you explained so simply, I was worried about this topic.You help me a lot. May Allah bless you with all His blessings
Thank you very much for the kind comment (much appreciated).
thank you. simplified so its easy to understand.
Hi Greg, Amazingly explained in simple words. Fantastic! Would you please recommend any other 3-minute video of yours or others on Negative and Postive Predicted value. This i couldnt understand from the last one minute of yours. Thank you!!!
Hi there Amir - thanks for the feedback. I don't have a video out at the moment on predicted value but will create one shortly.
Really helped me. Thanks for making it easier than the books
Thanks you for such good explanation and illustration!!
Hello Greg, I have a question. If the test is not 100% accurate, then how do you know the total number of people who actually have or do not have a disease?
Scientists have what is called a gold standard. Oftentimes, the gold standard is the patient autopsy.
Simple and easy to understand. This helped me a lot. Thank you sir. Vera
Glad you liked it Vera - thanks for the comment.
Clinically then, high sensitivity is more important when using the test in a diagnostic context with symptomatic people with a suspected illness?
Thanks for explaining easily in a short period of time.
You are most welcome Zarif! :)
that was the best explanation ive ever got
Wow - what a nice thing to say (thanks!!)
Thank you so much for this
Very easy to understand
thank you Sir for your such lucid explanation
You are most welcome
I went in thinking I wouldn't understand, but your explanation is simple.
I'm so glad that I could help!! Thanks for the feedback Halmimah.
Hello Greg Martin ,thank you so much for making Public health so much simpler.Your videos are the best I've watched.
+Jennita Ramburn - thanks for your very kind comment. Much appreciated. 😁
still helpful after 10 years 🙂! thank you...
Glad you liked it, thanks
This was really good. Very clear. Thank you
What an incredibly easy explanation...Thank you !
Thank you, like the few minutes explanation to the topic,, thank you
Can you relate to what the positive and negative predictive value of the test will add to our explanation of the sp and sn of the test. I believe in your style (simple and clear)
+Haider AlWaeli - thanks for the comment!
Perfectly clear. Thank you.
Thank you for the feedback. Glad you enjoyed it!
I don't know why this topic was so difficult for me to understand. I am in a practicum course at my uni and I could understand most things but not this! Thank you so much
Glad it was helpful!
This is Wonderfull, really appreciated
Thank you for the feedback!
Perfectly explained with a great smile. Thank you sir.
Hi, many thanks for your brilliant videos, exceptionally good explanations.
Do you have any chance to explain how to do data analysis, particularly how to select appropriate tests like chi-square, t-test, paired t-test, anova etc.?
Thanks for the question brrrr4 - I have done a few videos on data analysis (but haven't yet covered the topics that you suggested). I will certainly be doing more and will cover the areas that you've indicated. In the interim, you can go to my How to Find and Use Data playlist and see what I've done so far: ua-cam.com/play/PLujS9ooBebKVqwKXDqdqMqkwb1EKl4FM6.html
Hi Greg, Many Thanks for your extremely quick response and your brilliant suggestions. I am looking forward to learn further from you, you have got talent on teaching.
+brrrr4 - great question - i'll make a video on that sometime.
Oh, and Thank you for creating and posting!
You are most welcome Annette Collins
Great presentation Greg :)
+EpiStats Thanks
great videos for sure. what software or programs do you use to create videos like this?
Hi Soni - I use Final Cut Pro X and KeyNotes for a lot of it. Hope that helps. Greg
Thank you for your useful video.I have a question please let me lnow if you know the answer.What is the meaning of Specifity in multi confusion matrix., in 3*3 matrix for example
+Lobat Vetr Thanks for the question. Unfortunately I don't know the answer off hand but will see if I can find more information. Sorry that I couldn't be more helpful at this time..
Nice, using this for a training next week!
Glad to hear that you found it helpful!
You explained this wonderfully. Thank you!!
It was a nice explanatory video, but what happens if we reverse the disease and test axis ... like disease on y axis and test on x axis ... would the things be the same ?? Kindly explain this big query of mine.
Regards
+Manpreet singh - hi - thanks for the question - I'll give it a little thought and get back to you.
+Greg Martin Did you ever explain to him? I am interested as well =)
Thanks for the question - if you swap the axis' around it won't make any difference in principle. The trick is to make sure that your numerator and denominator are always carefully thought through. So, for Sensitivity, you're always going to want to have the true positives as your numerator (those that are positive and test positive) and all positives as your denominator (everyone that is positive regardless of how they test). Hope that helps.
Thank you so much Greg.
You are very helpful =)
I watched a 13min video and couldnt understand what specificity is.. Completed understood it after 1 min of this video.
Glad to hear it!!! Thanks for the feedback!!
Thank you the explanations. Great work
Thanks for the feedback Cornelia - much appreciated. Glad you liked it.
Sensitivity- tests positive correctly/all people positive -TPC/APP
Specificity-tests negative correctly/all people negative-TNC/APN
Positive predictive value- tests positive correctly/tests positive-TPC/TP
Negative predictive value-tests negative correctly/tests negative-TNC/TN
thank you Greg Martin.
spiveyweb you are most welcome 😁
best video I've found so far for sure! You're great at what you do! :D God bless :D
Thanks for the very kind words John - I really appreciate it!
Amazing explanation thank you
Most welcome, thanks for watching
Love the way you explain!
+Loreto Carmona Thanks a lot Loreto!
Excellent ! How can I get a text of that ?
Hi Ashek - thanks for the question - sorry, I don' have the text but will be writing a book that includes this content at some point in the near future.
Finally understood it! Thank you
Glad I could help Justine Bugeja
Sharp and straightfwd explaination
Thanks :)
Hi Shabooka Zalaknke thanks for the comment. Glad you liked the video!
Helped me for my Stat class. Thank you.
Hi Mor - I will be making statistics videos shortly (so watch this space). Greg
Thanks, this was really helpful!
On word only “ AMAZING”
Thanks!!
Thank you. This is so helpful
Great vid! - Nice and concise
+Matthew Kakande thanks. 😁
very clear and helpful thank you!
Thank you Doctor!
Thanks Dr. Martin
You are most welcome Hassan. :)
Thanks a lot.
This lecture is very important.
Could you explain and talk slowly please.
Thanks for the feedback - I will do. :)
great presentation
+Godwin Ogbole Thanks Godwin - much appreciated.
Thank you very much
You’re welcome
love your work!
thanks buni dan
Genius explanation
You are very kind to say so (thanks)
Great explanation... Thank you..
+Mohammad Khadra Thanks for the feedback - glad you liked it.
so simple and nice
+نهلة حسن Thanks
REALLY SIMPLE N SWEET
Thanks (appreciate the comment)
Would be perfect if you also included concrete examples of tests/diseases.
Ah - good idea - thanks for the suggestion! Happy day. Greg
Im inquisitive about your quick explanation , does this that your too active and quick for it behind❤❤😂 door ?
Yes 😁
You are the best !!!!!!!!!!!!!!!!!!!!! THANKS !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
+Lester Mendoza glad you liked the video Lester - thanks for the feedback.
Absolute king
great job!
Thanks
If I tested positive for gonorrhea, forgetting skewing inputs ie did I visit a whorehouse yesterday? etc., wouldn't the ratio of concern be false positives/all people positive. In your example, 3/70~4.3 %chance the test is false? This would seem a more clinically relevant measure.
Great video! Subscribed :)
Thanks. Glad you liked it. Thanks for subscribing!! 😀👍☑️‼️
really helpful video!
Thanks.
Thanks! 👍🏻
thank you !!
You're welcome!
wow this helps so much
Thank you for watching! So happy to hear that!
@@gregmartin definitely! Had to learn it real quick before my final exam and I sure used it in the exam too. What a legend fr 💯
THANK YOU SO MUCH!
You are most welcome Kimberley
This is gold
Glad you found it helpful Jason!
Thank you!
You are most welcome :)
Love the outro
Thanks for the feedback
Thank you for this :) God bless :)
+laya senthil Thanks