Interpreting confidence intervals for the odds ratio

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  • เผยแพร่เมื่อ 9 เม.ย. 2020
  • --Reading research, biostatistics
    --Risk factors and protective associations
    --Associated hypothesis tests
    -- USMLE biostats.

ความคิดเห็น • 226

  • @collegestatistics
    @collegestatistics  3 ปีที่แล้ว +19

    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. 😊

    • @wisdompeprah8242
      @wisdompeprah8242 3 ปีที่แล้ว

      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.

    • @bryanc.6532
      @bryanc.6532 2 ปีที่แล้ว

      Very helpful! Thank you for putting this up, looking forward for more of your video. 👍👍👍

    • @uamykalsoomkalsoomjutt4859
      @uamykalsoomkalsoomjutt4859 ปีที่แล้ว

      Yes sir kindly upload a video on logistics regression its components or example please ...... thankuu

  • @freezee7547
    @freezee7547 8 หลายเดือนก่อน +2

    The best straight to the point explain ever on TH-cam!

  • @ambrosecarrejo3395
    @ambrosecarrejo3395 2 ปีที่แล้ว +2

    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.

  • @miapassas7303
    @miapassas7303 3 ปีที่แล้ว +2

    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!

    • @collegestatistics
      @collegestatistics  3 ปีที่แล้ว

      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.

  • @jenny_gil
    @jenny_gil 6 วันที่ผ่านมา

    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!

  • @tusnimmokhtar7394
    @tusnimmokhtar7394 3 ปีที่แล้ว +9

    The explanation was on point! Thank you!!! I have been looking for a clear explanation with examples like this for months😭 THANK YOU!!!!

  • @danielbl2874
    @danielbl2874 ปีที่แล้ว +1

    When you are lucky enough to find vids like this... Statistics is a pleasure! Great explanation!

    • @collegestatistics
      @collegestatistics  ปีที่แล้ว

      Thanks for watching and the kind words. My goal is always to share that statistics is an amazing subject.

  • @candaceleigh20
    @candaceleigh20 3 ปีที่แล้ว +5

    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.

    • @collegestatistics
      @collegestatistics  3 ปีที่แล้ว

      Great job! Thank you for that awesome comment!

  • @KuriGohan-ss4oy
    @KuriGohan-ss4oy 3 ปีที่แล้ว +4

    Thank you for this! This was the most practical and coherent explanation I found after watching other tutorial vids.

  • @melindajvelez7775
    @melindajvelez7775 3 ปีที่แล้ว +8

    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

    • @collegestatistics
      @collegestatistics  3 ปีที่แล้ว +1

      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?

    • @pendapalanamundjebo5328
      @pendapalanamundjebo5328 2 ปีที่แล้ว +1

      Agreed! I watched like six before I stumbled across this one and I 95% confident I could explain this to someone as well :P

  • @thehoodedvagabum7375
    @thehoodedvagabum7375 3 ปีที่แล้ว +2

    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!

  • @jacobdeguire5754
    @jacobdeguire5754 2 ปีที่แล้ว +1

    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!

  • @bibigulaltayeva8253
    @bibigulaltayeva8253 3 ปีที่แล้ว

    Thank you so much! From all 10000 videos I found your explanation is a best one!

  • @madolo0978
    @madolo0978 8 วันที่ผ่านมา

    I love a good TH-cam video, one beaming with personality! Immediately going into my Favorites folder.

  • @punyasloksenapaty4460
    @punyasloksenapaty4460 15 วันที่ผ่านมา +1

    The best on internet for me❤

    • @collegestatistics
      @collegestatistics  6 วันที่ผ่านมา

      Thanks for commenting! (It helps the channel.)

  • @rajinraihananikislam5432
    @rajinraihananikislam5432 3 ปีที่แล้ว

    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

    • @collegestatistics
      @collegestatistics  3 ปีที่แล้ว +1

      Would a video about adjusting odds ratios using logistic regression be helpful? In very general conceptual terms?

    • @rajinraihananikislam5432
      @rajinraihananikislam5432 3 ปีที่แล้ว

      @@collegestatistics Yeah, it would be. I would be very grateful to you if you upload the video about adjusting odds ratios.

  • @patalinisalka8189
    @patalinisalka8189 3 ปีที่แล้ว +2

    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.

  • @aaronmoonga3669
    @aaronmoonga3669 2 หลายเดือนก่อน

    the best tutorial I have ever found on odds ratio and interpretation. thank you so much for the tutorial

  • @tapiwamashingaidze9317
    @tapiwamashingaidze9317 2 ปีที่แล้ว +1

    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

  • @ramamudarres2705
    @ramamudarres2705 2 ปีที่แล้ว

    Awesome explanation! Finally, I can 'connect the dots'! Thank you

  • @bezawitashine2217
    @bezawitashine2217 ปีที่แล้ว

    Wow very much appriciated. What a great way of explaning this topic. Thank you

  • @DarineAlem
    @DarineAlem ปีที่แล้ว

    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.

    • @collegestatistics
      @collegestatistics  ปีที่แล้ว

      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!

  • @TheJProducti0ns
    @TheJProducti0ns 3 ปีที่แล้ว +1

    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!

    • @collegestatistics
      @collegestatistics  3 ปีที่แล้ว

      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!

  • @AbiezerD
    @AbiezerD ปีที่แล้ว

    Absolutely best explanation of OR ever !! Thank you

  • @joykiden8514
    @joykiden8514 ปีที่แล้ว +1

    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.

  • @rachael4868
    @rachael4868 2 ปีที่แล้ว

    Really great explanations here. I can't thank you enough!

  • @Victoria-vg4sg
    @Victoria-vg4sg 2 ปีที่แล้ว

    Thank you so much for your video. The best odds ratio video ever!

  • @BME_RX
    @BME_RX 2 ปีที่แล้ว +1

    Very clear explanation!!! Please make more videos.

  • @kaoulkae
    @kaoulkae 3 ปีที่แล้ว

    Thank you very much. I am just curious about science and now I can understand the research papers results better !

  • @ashirar410
    @ashirar410 2 ปีที่แล้ว +1

    Excellent video, very easy to understand, Thank you

  • @ekit1686
    @ekit1686 3 ปีที่แล้ว

    The way u deliver is amazing ..keep it up!

  • @christianaedwards3362
    @christianaedwards3362 3 ปีที่แล้ว

    Well Done, this video has helped with my exams questions .
    Bunch of thanks

  • @pooi5647
    @pooi5647 3 ปีที่แล้ว +1

    I have enjoyed the video. Thanks!

  • @cha1645
    @cha1645 4 ปีที่แล้ว

    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

  • @cooljoe355
    @cooljoe355 ปีที่แล้ว

    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

    • @collegestatistics
      @collegestatistics  ปีที่แล้ว

      I hope you become great doctors and help the quality of the lives of many!

  • @ogedegbeidemudia9419
    @ogedegbeidemudia9419 4 หลายเดือนก่อน

    This is quite insightful.
    Many thanks

  • @terrys8206
    @terrys8206 3 ปีที่แล้ว

    This is an amazing video! Thank you for your explanation :)

    • @collegestatistics
      @collegestatistics  3 ปีที่แล้ว

      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.

  • @aliyeaslsonsuz7099
    @aliyeaslsonsuz7099 5 วันที่ผ่านมา

    It is clear and short explanation. Thank you so much. I understand by all your 4 example so easily :)

  • @faialnashmi4710
    @faialnashmi4710 3 ปีที่แล้ว

    This is more than helpful. Thank you so much for sharing:)

  • @ayakhanji4120
    @ayakhanji4120 2 ปีที่แล้ว

    Thank you very much, I was struggling until I found your video. keep it up =D

  • @agathaloveschrist
    @agathaloveschrist 2 ปีที่แล้ว

    Thank you so much. You are the best!

  • @rumeysaeed1
    @rumeysaeed1 2 ปีที่แล้ว

    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

    • @collegestatistics
      @collegestatistics  2 ปีที่แล้ว

      Thank you so much for the compliment. Is there any topic you would like next?

    • @rumeysaeed1
      @rumeysaeed1 2 ปีที่แล้ว

      @@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!

  • @manpreetkj3
    @manpreetkj3 3 ปีที่แล้ว

    This is such a helpful video. Thank you!

  • @debrajanetmalagaespichan1952
    @debrajanetmalagaespichan1952 2 ปีที่แล้ว

    Thank you for your explanation!

  • @flexonngulinga3038
    @flexonngulinga3038 3 ปีที่แล้ว

    this is a great video. it has helped me in my Epidemiology assignment.

    • @collegestatistics
      @collegestatistics  3 ปีที่แล้ว

      Thanks so much for letting me know. Most of my other videos get very few views.

  • @faeeza3091
    @faeeza3091 2 ปีที่แล้ว

    Thank you so much sir, i'm doing my thesis right now and it really helpful!

  • @aidylmorningdew195
    @aidylmorningdew195 3 ปีที่แล้ว

    Thank you. you are a great teacher in stats

  • @pendapalanamundjebo5328
    @pendapalanamundjebo5328 2 ปีที่แล้ว

    This was extremely helpful. Thank you.

  • @vicmamawow6176
    @vicmamawow6176 ปีที่แล้ว

    Awesome! This video is really helpful to me.

    • @collegestatistics
      @collegestatistics  ปีที่แล้ว

      Thank you for watching and glad it was helpful.

  • @hirjani1389
    @hirjani1389 2 ปีที่แล้ว

    Is there a video that explains interpretation of OR? This one is really helpful :)

  • @wouter55555
    @wouter55555 2 หลายเดือนก่อน

    this was actually amazing!

  • @SS-fd8kh
    @SS-fd8kh 2 ปีที่แล้ว

    Very useful. Thank you a lot!

  • @mariosgrigoriou7596
    @mariosgrigoriou7596 ปีที่แล้ว

    simple and clear, thank you.

  • @amirpri-gal6970
    @amirpri-gal6970 3 ปีที่แล้ว

    good and clear explanation, thank you friend

  • @nehacharak6190
    @nehacharak6190 ปีที่แล้ว +1

    thanks a ton, its an amazing explanation!

  • @isabelladicorrado6153
    @isabelladicorrado6153 ปีที่แล้ว +1

    keep working hard professor! see you in class

  • @ibassik
    @ibassik ปีที่แล้ว

    Great video!

  • @EzrhaGodilano
    @EzrhaGodilano 3 ปีที่แล้ว

    This is very useful. Thank you!

  • @urpriceless
    @urpriceless 3 ปีที่แล้ว +1

    Best explanation!!!

  • @MedicalBlackBook
    @MedicalBlackBook 3 ปีที่แล้ว

    A very nice explanation, I finally understood

  • @walaaalnabhan8341
    @walaaalnabhan8341 2 ปีที่แล้ว

    Outstanding explanation, thank you a lot :)

  • @Amir_LNH
    @Amir_LNH 2 ปีที่แล้ว +1

    Very much impressive

  • @lalanthikaweliwitiya7126
    @lalanthikaweliwitiya7126 3 ปีที่แล้ว

    thank you. excellent explaining

  • @tatianathomas2572
    @tatianathomas2572 ปีที่แล้ว

    Great video! Helped a lot.

  • @linwang6975
    @linwang6975 ปีที่แล้ว +3

    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?

    • @collegestatistics
      @collegestatistics  ปีที่แล้ว

      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?

    • @bob_the_bomb4508
      @bob_the_bomb4508 ปีที่แล้ว

      @@collegestatistics for me this question is, for example, “what is the difference between an odds ratio of - say - 0.2 and 0.8?

    • @mustafeibrahim-xx1fk
      @mustafeibrahim-xx1fk 4 หลายเดือนก่อน

      ​@@bob_the_bomb4508 It is impossible to see a odds ratios which takes negative sign.

    • @bob_the_bomb4508
      @bob_the_bomb4508 4 หลายเดือนก่อน

      @@mustafeibrahim-xx1fkthat’s not a negative sign. It’s a parenthesis around ‘say’

  • @Zalmitechsolutions
    @Zalmitechsolutions ปีที่แล้ว

    It was a clear explanation thanks for the video.

  • @EmmanuelKyaloMuli
    @EmmanuelKyaloMuli ปีที่แล้ว

    from Kenya. Great video!!

    • @collegestatistics
      @collegestatistics  ปีที่แล้ว

      Thanks! 😃

    • @EmmanuelKyaloMuli
      @EmmanuelKyaloMuli ปีที่แล้ว

      @@collegestatistics Please help me understand how to interpret the same odds ratio in the video if the confidence interval width exceeds 5%.

  • @afsanajabeen608
    @afsanajabeen608 2 ปีที่แล้ว

    thank you so much for this informative vedio

  • @whitneepe3890
    @whitneepe3890 3 ปีที่แล้ว

    very clear explanation!

  • @sumangurung6935
    @sumangurung6935 ปีที่แล้ว

    Thank you, largely helpful

  • @jwilson3663
    @jwilson3663 2 ปีที่แล้ว

    Thank you for this!!

  • @hopaeds2183
    @hopaeds2183 3 ปีที่แล้ว

    very useful video. thank you

  • @JAMScover1
    @JAMScover1 3 ปีที่แล้ว

    This is so helpful! Thanks

  • @meza4593
    @meza4593 2 ปีที่แล้ว

    you are amazing

  • @Assassin-pg5gb
    @Assassin-pg5gb 3 ปีที่แล้ว

    I could actually kiss you the interpretation has had me so confused BUT NOW IT MAKEAS SENSE THANKS!!!!!!

  • @maharudrahrishikesh3881
    @maharudrahrishikesh3881 3 ปีที่แล้ว

    That was a great video. Thanks a lot. Can you upload a video on how to calculate the 95% CI, please?

    • @collegestatistics
      @collegestatistics  3 ปีที่แล้ว +2

      Great suggestion! Working on that tonight!

  • @rositamansouri2735
    @rositamansouri2735 ปีที่แล้ว +1

    Thank you

  • @graindust9109
    @graindust9109 3 ปีที่แล้ว +1

    Omg thankkk u so much whoever u are. U r really helping me sir :")
    I'll subscribe ur channel

  • @mihretabreham1055
    @mihretabreham1055 2 ปีที่แล้ว

    Thanks aloooot!keep it up!

  • @mahenur
    @mahenur 2 ปีที่แล้ว

    Very helpful thank-you

  • @ashleyroughton6814
    @ashleyroughton6814 8 หลายเดือนก่อน +1

    Very helpful. Ty.

  • @reem4374
    @reem4374 ปีที่แล้ว

    This is AMAZING thank you
    What if my study is cohort; will using OR and CI appropriate or not?

    • @collegestatistics
      @collegestatistics  ปีที่แล้ว

      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.

  • @nehacharak5833
    @nehacharak5833 ปีที่แล้ว

    Hey what is the inference if OR do not fall into CI?

  • @yaplishan1996
    @yaplishan1996 ปีที่แล้ว

    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!

    • @collegestatistics
      @collegestatistics  ปีที่แล้ว +1

      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!

    • @sarawrsflove
      @sarawrsflove ปีที่แล้ว

      @@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?

  • @minuteswithfrancie9742
    @minuteswithfrancie9742 8 หลายเดือนก่อน

    Thank you so much sir

  • @carlosort-ceb2101
    @carlosort-ceb2101 3 ปีที่แล้ว +1

    Very nice. The same rule apply to relative risk for confidence interval?

  • @farihazafar4806
    @farihazafar4806 ปีที่แล้ว

    Your teaching style is too good

  • @salumazizi7217
    @salumazizi7217 9 หลายเดือนก่อน

    Thanks Prof

  • @insideexercise
    @insideexercise ปีที่แล้ว +1

    Great explanation but id be interested to hear of diseases that are increased by exercise! You need to watch my Inside exercise podcast!!

    • @bob_the_bomb4508
      @bob_the_bomb4508 ปีที่แล้ว

      Take up playing squash when you have an undiagnosed heart condition?

  • @TheRareCriticalThinker
    @TheRareCriticalThinker 2 ปีที่แล้ว

    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?

    • @collegestatistics
      @collegestatistics  2 ปีที่แล้ว

      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.

    • @TheRareCriticalThinker
      @TheRareCriticalThinker 2 ปีที่แล้ว

      @@collegestatistics the numbers are coming from multiple studies. So now what?

  • @faridabashir4678
    @faridabashir4678 2 หลายเดือนก่อน

    Thank you
    This is very helpful

  • @captainmustard1
    @captainmustard1 4 หลายเดือนก่อน

    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?

  • @foreer4627
    @foreer4627 2 ปีที่แล้ว +1

    If we have 1 in the upper limit in CI, are the findings significant?

    • @collegestatistics
      @collegestatistics  2 ปีที่แล้ว

      I would need a bit more detail in the question. Maybe put some numbers in it?

  • @noellesutton4486
    @noellesutton4486 ปีที่แล้ว

    How does one interpret an OR 1.01 and Confidence intervals of (1.01, 1.02)?

    • @collegestatistics
      @collegestatistics  ปีที่แล้ว +1

      Technically significant risk but with a tiny effect.

  • @suvanibaral6780
    @suvanibaral6780 2 ปีที่แล้ว

    The best explanation ever. Can u please explain how did you get that CI . Also can u make video on p values

    • @collegestatistics
      @collegestatistics  2 ปีที่แล้ว

      I have a lot of P value videos in my hypothesis testing playlist.

  • @zh6804
    @zh6804 3 ปีที่แล้ว

    Thanks a lot 🙏🌷🌷🌷

  • @anussakrishnan9596
    @anussakrishnan9596 2 ปีที่แล้ว

    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?

    • @collegestatistics
      @collegestatistics  ปีที่แล้ว

      If a bound hits one I'd wanna take a look at the P value. You'll be close!

  • @felicialalremruati8478
    @felicialalremruati8478 3 ปีที่แล้ว

    So helpful for writing my review article😁

  • @RaanitaOfficial
    @RaanitaOfficial 2 ปีที่แล้ว

    This is so helpful

  • @xoxo_1990
    @xoxo_1990 ปีที่แล้ว

    I liked the video. one suggestion, please use words like strong or weak evidence as these are used in exams.

    • @collegestatistics
      @collegestatistics  ปีที่แล้ว

      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.