Sensitivity and specificity - explained in 3 minutes

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  • Опубліковано 23 січ 2025

КОМЕНТАРІ • 247

  • @MiilEastarr
    @MiilEastarr 9 років тому +148

    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

    • @gregmartin
      @gregmartin  9 років тому +3

      +Coco Bongo Thanks for the comment!

    • @joelnenadovich8141
      @joelnenadovich8141 6 років тому

      This guys is awesome. Lectures are idiots.

    • @baldegl4422
      @baldegl4422 3 роки тому +1

      I agree, this was a exceptional summary of the salient features of these commonly used statistical methods.

  • @StudyWithM3E46
    @StudyWithM3E46 4 роки тому +2

    wow seriously more helpful than my 12 minute lecture and the other youtube videos ive come across. thanks a lot!

  • @bizcaya
    @bizcaya 3 роки тому +3

    Best video I´ve come across on the subject!

  • @janesmokie
    @janesmokie 4 роки тому +3

    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.

  • @rebeccaleverock1689
    @rebeccaleverock1689 8 років тому +2

    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!

    • @gregmartin
      @gregmartin  8 років тому +3

      Thanks Rebecca - that's very encouraging! Glad you liked it!

  • @Jenette818
    @Jenette818 4 роки тому +4

    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.

  • @MARTINAEFEYINI
    @MARTINAEFEYINI 10 років тому +13

    Thank you for sharing and posting! This is short, to the point and easy to understand.

    • @gregmartin
      @gregmartin  9 років тому +1

      +MARTINA EFEYINI Thanks!

  • @davidalexander829
    @davidalexander829 8 років тому +2

    Excellent. Just the level and depth of detail that I need briefly. Thanks!

  • @dr.yamanfawal9419
    @dr.yamanfawal9419 4 роки тому

    OMG, sir i owe you so much. This is the first time i deeply understand this topic.

  • @essadjama5139
    @essadjama5139 4 роки тому +1

    Thanks Greg Martin. i learned from you so many things since the last four years, perfectly explained.

  • @GgG-71494
    @GgG-71494 4 роки тому +15

    play it at 0.75 playback speed.....youre welcome :)

    • @maielmoutaz9017
      @maielmoutaz9017 9 місяців тому +1

      You're absolutely right, thanks 😂

  • @zekihi6994
    @zekihi6994 7 років тому

    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!!!

    • @gregmartin
      @gregmartin  7 років тому

      Glad you found it helpful Zeki!! thanks for the feedback.

  • @taylorbrooks754
    @taylorbrooks754 Рік тому

    Oh my gosh, I almost had an aneurysm trying to figure this out by myself. Thank you so much for making it so simple!

    • @gregmartin
      @gregmartin  Рік тому

      So glad it helped, thank you for your amazing feedback!

  • @camhaw
    @camhaw 6 років тому +1

    Best video!!!! I've been reading and trying to understand those terms forever and I got it now... in 3 mn! Thank you Greg!\

    • @gregmartin
      @gregmartin  6 років тому

      You are most welcome! Glad that I could help!

  • @raymeyer1825
    @raymeyer1825 7 років тому

    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

    • @gregmartin
      @gregmartin  7 років тому

      Glad I could help Ray - thanks for the feedback!

  • @denaconley2883
    @denaconley2883 8 років тому +2

    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!!!

    • @gregmartin
      @gregmartin  8 років тому

      Glad that you found it helpful Dena! thanks for the comment!

  • @patriciaschwerdtle5789
    @patriciaschwerdtle5789 9 років тому +2

    Just when I thought I was facing rubbish-throwing nursing/midwifery/paramedic students tomorrow (again).. predictably Greg Martin comes up with the perfect

    • @gregmartin
      @gregmartin  9 років тому

      Patricia Schwerdtle thanks very much for the comment !!! you are too kind.

  • @luchewei
    @luchewei 3 роки тому

    You totally answer and interpret a confused topic clearly!

  • @shyama5612
    @shyama5612 2 роки тому +1

    Crisp and clear explanation. Nicely done.

  • @pendapalanamundjebo5328
    @pendapalanamundjebo5328 9 років тому +1

    Hi just wanted to say this video is a life saver. It was really simple and easy to follow. thank you.

    • @gregmartin
      @gregmartin  9 років тому

      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.

    • @pendapalanamundjebo5328
      @pendapalanamundjebo5328 9 років тому

      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.

    • @gregmartin
      @gregmartin  9 років тому

      Penda Namundjebo hi there -thanks for the reminder - I'll put together a video on Standardisation very soon

  • @af121x
    @af121x 3 роки тому

    Thank you. This is the clearest explanation I found.

    • @gregmartin
      @gregmartin  3 роки тому

      Glad you liked it. Thanks for the feedback.

  • @mikehynz
    @mikehynz Рік тому

    I can't believe I almost never knew that. Well done!

  • @nureyna629
    @nureyna629 6 років тому

    Best understandable sensitivity and specificity video ever, thank you so much...

    • @gregmartin
      @gregmartin  6 років тому +1

      You are most welcome Muzdalifa

  • @singinglovehearts
    @singinglovehearts 8 років тому +5

    I needed this refresher. Thank you!

    • @gregmartin
      @gregmartin  8 років тому

      You're most welcome. Do let me know if there are other topics that you'd like me to cover.

  • @Samirabrown123
    @Samirabrown123 8 років тому +7

    subscribed specifically because I liked your sign off phrase.

    • @gregmartin
      @gregmartin  8 років тому +2

      haha - well that is as good a reason as any - thanks for subscribing! Hope you enjoy the videos...

  • @jimileekalu7275
    @jimileekalu7275 10 років тому +4

    Dare I ask? Oh, why not... please consider an episode explaining Direct & Indirect Standardization. Thank you sir. Love your channel!

    • @gregmartin
      @gregmartin  10 років тому +2

      Thanks for the suggestions Jimilee Kalu - great idea. I'll do something on that soon for sure!

  • @baezledesma3439
    @baezledesma3439 3 роки тому +1

    Great explanation!! Absolutely useful, 3 mins video, thank you!

  • @e.awdishu_MD
    @e.awdishu_MD 9 років тому

    Thorough, clear, and easy explanation. Thanks!

    • @gregmartin
      @gregmartin  8 років тому

      +Emmanuel Awdishu glad you liked it - thanks for the feedback.

  • @vijaypalmanit
    @vijaypalmanit 6 років тому

    best explanation so far, finally i understood the concept.

    • @gregmartin
      @gregmartin  6 років тому

      I'm so glad Vijay! Glad that I could help.

  • @kdramaaddict5241
    @kdramaaddict5241 8 років тому

    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

    • @gregmartin
      @gregmartin  8 років тому

      Thank you very much for the kind comment (much appreciated).

  • @SarahRN
    @SarahRN 4 роки тому

    thank you. simplified so its easy to understand.

  • @mamirmemon4938
    @mamirmemon4938 6 років тому

    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!!!

    • @gregmartin
      @gregmartin  6 років тому

      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.

  • @akankshagaur1626
    @akankshagaur1626 5 років тому

    Really helped me. Thanks for making it easier than the books

  • @pei-enhuang4858
    @pei-enhuang4858 9 місяців тому

    Thanks you for such good explanation and illustration!!

  • @Happy.Traveller
    @Happy.Traveller 3 роки тому +1

    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?

    • @DoctorQsFM
      @DoctorQsFM 2 роки тому

      Scientists have what is called a gold standard. Oftentimes, the gold standard is the patient autopsy.

  • @verasndergaard8156
    @verasndergaard8156 7 років тому

    Simple and easy to understand. This helped me a lot. Thank you sir. Vera

    • @gregmartin
      @gregmartin  7 років тому

      Glad you liked it Vera - thanks for the comment.

  • @kh-wg9bt
    @kh-wg9bt 2 роки тому

    Clinically then, high sensitivity is more important when using the test in a diagnostic context with symptomatic people with a suspected illness?

  • @zarsblackhorse123
    @zarsblackhorse123 6 років тому

    Thanks for explaining easily in a short period of time.

    • @gregmartin
      @gregmartin  5 років тому

      You are most welcome Zarif! :)

  • @Theprofessionalsurgeon
    @Theprofessionalsurgeon 3 роки тому +1

    that was the best explanation ive ever got

    • @gregmartin
      @gregmartin  2 роки тому

      Wow - what a nice thing to say (thanks!!)

  • @olufunkeadeniyi1584
    @olufunkeadeniyi1584 4 роки тому +1

    Thank you so much for this
    Very easy to understand

  • @indrashispowali
    @indrashispowali 2 роки тому +1

    thank you Sir for your such lucid explanation

  • @halimahmohammed5849
    @halimahmohammed5849 5 років тому +1

    I went in thinking I wouldn't understand, but your explanation is simple.

    • @gregmartin
      @gregmartin  5 років тому

      I'm so glad that I could help!! Thanks for the feedback Halmimah.

  • @drramburnjennu6478
    @drramburnjennu6478 7 років тому

    Hello Greg Martin ,thank you so much for making Public health so much simpler.Your videos are the best I've watched.

    • @gregmartin
      @gregmartin  7 років тому

      +Jennita Ramburn - thanks for your very kind comment. Much appreciated. 😁

  • @NathenZ-s3w
    @NathenZ-s3w 7 місяців тому

    still helpful after 10 years 🙂! thank you...

    • @gregmartin
      @gregmartin  7 місяців тому +1

      Glad you liked it, thanks

  • @shanegordon9586
    @shanegordon9586 3 роки тому

    This was really good. Very clear. Thank you

  • @dianecalabrese228
    @dianecalabrese228 5 років тому

    What an incredibly easy explanation...Thank you !

  • @haideralwaeli1398
    @haideralwaeli1398 9 років тому +2

    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)

    • @GregMartin123
      @GregMartin123 9 років тому

      +Haider AlWaeli - thanks for the comment!

  • @fatheringexcellence
    @fatheringexcellence 2 роки тому

    Perfectly clear. Thank you.

    • @gregmartin
      @gregmartin  2 роки тому

      Thank you for the feedback. Glad you enjoyed it!

  • @tungstenwhizard4361
    @tungstenwhizard4361 3 роки тому

    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

  • @ibda3color
    @ibda3color 2 роки тому +1

    This is Wonderfull, really appreciated

    • @gregmartin
      @gregmartin  2 роки тому

      Thank you for the feedback!

  • @4489005
    @4489005 4 роки тому +2

    Perfectly explained with a great smile. Thank you sir.

  • @brrrr4
    @brrrr4 10 років тому +3

    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.?

    • @gregmartin
      @gregmartin  10 років тому

      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

    • @brrrr4
      @brrrr4 10 років тому

      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.

    • @GregMartin123
      @GregMartin123 9 років тому

      +brrrr4 - great question - i'll make a video on that sometime.

  • @annetteb.collins9540
    @annetteb.collins9540 10 років тому

    Oh, and Thank you for creating and posting!

    • @gregmartin
      @gregmartin  10 років тому

      You are most welcome Annette Collins

  • @Med.School.Wizards
    @Med.School.Wizards 8 років тому +1

    Great presentation Greg :)

  • @SoniSoni-su4hh
    @SoniSoni-su4hh 7 років тому

    great videos for sure. what software or programs do you use to create videos like this?

    • @gregmartin
      @gregmartin  7 років тому

      Hi Soni - I use Final Cut Pro X and KeyNotes for a lot of it. Hope that helps. Greg

  • @lobatvetr6179
    @lobatvetr6179 8 років тому

    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

    • @gregmartin
      @gregmartin  8 років тому

      +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..

  • @fionascorgie4293
    @fionascorgie4293 8 років тому

    Nice, using this for a training next week!

    • @gregmartin
      @gregmartin  8 років тому

      Glad to hear that you found it helpful!

  • @etherealbae2160
    @etherealbae2160 5 років тому

    You explained this wonderfully. Thank you!!

  • @drmanu1983
    @drmanu1983 9 років тому

    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

    • @GregMartin123
      @GregMartin123 9 років тому

      +Manpreet singh - hi - thanks for the question - I'll give it a little thought and get back to you.

    • @LakerLife
      @LakerLife 9 років тому

      +Greg Martin Did you ever explain to him? I am interested as well =)

    • @gregmartin
      @gregmartin  9 років тому

      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.

    • @LakerLife
      @LakerLife 9 років тому

      Thank you so much Greg.
      You are very helpful =)

  • @DragonRider520
    @DragonRider520 5 років тому +1

    I watched a 13min video and couldnt understand what specificity is.. Completed understood it after 1 min of this video.

    • @gregmartin
      @gregmartin  5 років тому

      Glad to hear it!!! Thanks for the feedback!!

  • @corneliaezima312
    @corneliaezima312 8 років тому

    Thank you the explanations. Great work

    • @gregmartin
      @gregmartin  8 років тому

      Thanks for the feedback Cornelia - much appreciated. Glad you liked it.

  • @fgnsdfnbnd4908
    @fgnsdfnbnd4908 9 років тому +2

    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

  • @spiveyweb
    @spiveyweb 7 років тому

    thank you Greg Martin.

    • @gregmartin
      @gregmartin  7 років тому

      spiveyweb you are most welcome 😁

  • @thejohnarnett
    @thejohnarnett 7 років тому +4

    best video I've found so far for sure! You're great at what you do! :D God bless :D

    • @gregmartin
      @gregmartin  7 років тому +1

      Thanks for the very kind words John - I really appreciate it!

  • @螺-z1r
    @螺-z1r Рік тому

    Amazing explanation thank you

    • @gregmartin
      @gregmartin  Рік тому

      Most welcome, thanks for watching

  • @MsBossanova
    @MsBossanova 10 років тому +6

    Love the way you explain!

    • @gregmartin
      @gregmartin  9 років тому

      +Loreto Carmona Thanks a lot Loreto!

  • @Ashekhosain
    @Ashekhosain 8 років тому

    Excellent ! How can I get a text of that ?

    • @gregmartin
      @gregmartin  8 років тому

      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.

  • @justinebugeja
    @justinebugeja 10 років тому +1

    Finally understood it! Thank you

    • @gregmartin
      @gregmartin  10 років тому

      Glad I could help Justine Bugeja

  • @TheShabooka
    @TheShabooka 10 років тому

    Sharp and straightfwd explaination
    Thanks :)

    • @gregmartin
      @gregmartin  10 років тому

      Hi Shabooka Zalaknke thanks for the comment. Glad you liked the video!

  • @kingryanPvP
    @kingryanPvP 8 років тому

    Helped me for my Stat class. Thank you.

    • @gregmartin
      @gregmartin  8 років тому

      Hi Mor - I will be making statistics videos shortly (so watch this space). Greg

  • @sebtacular
    @sebtacular 5 років тому +1

    Thanks, this was really helpful!

  • @heba_seyh9
    @heba_seyh9 3 роки тому +1

    On word only “ AMAZING”

  • @dorismarufu2294
    @dorismarufu2294 5 років тому

    Thank you. This is so helpful

  • @emeyekey5161
    @emeyekey5161 8 років тому

    Great vid! - Nice and concise

    • @gregmartin
      @gregmartin  8 років тому

      +Matthew Kakande thanks. 😁

  • @beverleys_closet
    @beverleys_closet 4 роки тому

    very clear and helpful thank you!

  • @mohabad2730
    @mohabad2730 4 роки тому

    Thank you Doctor!

  • @doctormwpepper
    @doctormwpepper 6 років тому

    Thanks Dr. Martin

    • @gregmartin
      @gregmartin  6 років тому +1

      You are most welcome Hassan. :)

  • @tymnur1003
    @tymnur1003 6 років тому

    Thanks a lot.
    This lecture is very important.
    Could you explain and talk slowly please.

    • @gregmartin
      @gregmartin  6 років тому

      Thanks for the feedback - I will do. :)

  • @godwinogbole8834
    @godwinogbole8834 9 років тому +2

    great presentation

    • @gregmartin
      @gregmartin  9 років тому

      +Godwin Ogbole Thanks Godwin - much appreciated.

  • @saz4217
    @saz4217 3 роки тому +1

    Thank you very much

  • @bunidan2381
    @bunidan2381 10 років тому

    love your work!

  • @tarheelpower2
    @tarheelpower2 6 років тому

    Genius explanation

    • @gregmartin
      @gregmartin  6 років тому

      You are very kind to say so (thanks)

  • @mokhadra9289
    @mokhadra9289 8 років тому

    Great explanation... Thank you..

    • @gregmartin
      @gregmartin  8 років тому

      +Mohammad Khadra Thanks for the feedback - glad you liked it.

  • @نهلةحسن-ص2ع
    @نهلةحسن-ص2ع 9 років тому +1

    so simple and nice

    • @GregMartin123
      @GregMartin123 9 років тому

      +‫نهلة حسن‬‎ Thanks

  • @naveengajula9942
    @naveengajula9942 8 років тому

    REALLY SIMPLE N SWEET

    • @gregmartin
      @gregmartin  8 років тому

      Thanks (appreciate the comment)

  • @CH-is1vc
    @CH-is1vc 5 років тому

    Would be perfect if you also included concrete examples of tests/diseases.

    • @gregmartin
      @gregmartin  5 років тому

      Ah - good idea - thanks for the suggestion! Happy day. Greg

  • @kedressguest9387
    @kedressguest9387 4 місяці тому

    Im inquisitive about your quick explanation , does this that your too active and quick for it behind❤❤😂 door ?

  • @thegamefoshoz
    @thegamefoshoz 9 років тому +1

    You are the best !!!!!!!!!!!!!!!!!!!!! THANKS !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

    • @GlobalHealth101
      @GlobalHealth101 9 років тому

      +Lester Mendoza glad you liked the video Lester - thanks for the feedback.

  • @Sly922
    @Sly922 4 роки тому

    Absolute king

  • @Zahrani024
    @Zahrani024 10 років тому

    great job!

  • @fgnsdfnbnd4908
    @fgnsdfnbnd4908 9 років тому

    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.

  • @MsFresh4444
    @MsFresh4444 8 років тому +1

    Great video! Subscribed :)

    • @gregmartin
      @gregmartin  8 років тому +1

      Thanks. Glad you liked it. Thanks for subscribing!! 😀👍☑️‼️

  • @carolinakern7720
    @carolinakern7720 8 років тому

    really helpful video!

  • @yasminkhattab3473
    @yasminkhattab3473 4 роки тому +1

    thank you !!

  • @tomin_kurisunkal
    @tomin_kurisunkal 2 роки тому +1

    wow this helps so much

    • @gregmartin
      @gregmartin  2 роки тому +1

      Thank you for watching! So happy to hear that!

    • @tomin_kurisunkal
      @tomin_kurisunkal 2 роки тому

      @@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 💯

  • @kkimcee
    @kkimcee 6 років тому

    THANK YOU SO MUCH!

    • @gregmartin
      @gregmartin  6 років тому

      You are most welcome Kimberley

  • @DOC_951
    @DOC_951 8 років тому

    This is gold

    • @gregmartin
      @gregmartin  8 років тому

      Glad you found it helpful Jason!

  • @BlackKaida
    @BlackKaida 7 років тому

    Thank you!

  • @rancorslayer5228
    @rancorslayer5228 Рік тому

    Love the outro

  • @layasen
    @layasen 9 років тому +1

    Thank you for this :) God bless :)