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Risk, Rate and Odds

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  • เผยแพร่เมื่อ 14 ส.ค. 2024

ความคิดเห็น • 28

  • @gregmartin
    @gregmartin  ปีที่แล้ว +1

    Get my FREE cheat sheets for Public Health, Epidemiology, Research Methods and Statistics (including transcripts of these lessons) here: www.learnmore365.com/courses/public-health-epidemiology-research-methods-and-statistics-resource-library

  • @TaufiqueJoarder
    @TaufiqueJoarder ปีที่แล้ว +10

    The part describing the difference between risk and odds was very helpful.

    • @gregmartin
      @gregmartin  ปีที่แล้ว

      Glad it was helpful :)

  • @nastarannazari5062
    @nastarannazari5062 6 หลายเดือนก่อน +1

    Thank you SO MUCH.

  • @dizetoot
    @dizetoot 4 หลายเดือนก่อน

    Such a great clear video - thanks!

  • @chatcraze24
    @chatcraze24 17 วันที่ผ่านมา

    You are a hero

  • @user-ii3qk2ki8w
    @user-ii3qk2ki8w 10 หลายเดือนก่อน +1

    I am very passionate to see your videos 🔥🥳
    I’m a medical student at babylon university
    Doctor ; i have an important question
    In the case of RATE , Always we should put a period of time in order to calculating the rate ?
    Or there is example pf rate where we dont need to use time in equation ?

  • @Qiuxe
    @Qiuxe 3 หลายเดือนก่อน

    my problem is, I want to find the odd of Me getting unboxing an item or getting that thing, it says the chance is 0.03% How Do i make that an odd as in 1 in (x)

  • @alejandraespinosahuerta738
    @alejandraespinosahuerta738 ปีที่แล้ว +1

    Hi Greg, and thank you for the amazing video. I have one question about interpreting the results for odds ratio. So, they way I learned it, is that odds ratio are actually the odds of the exposure and not the outcome. So in that sense, in your example that would mean that these are "the odds of going to the cinema and sneezing". Is that right? I hope that makes sense. I'm not really sure if that is the right way to do it, or you can go straight to the outcome and say "these are the odds of sneezing if you are in the cinema". Hope you can help me. Thanks!

  • @yaelv4712
    @yaelv4712 3 หลายเดือนก่อน

    Excellent!

  • @alinawani2507
    @alinawani2507 5 หลายเดือนก่อน

    Sir are odds significantnt in experimental studies Are the test to be applied still

  • @alinawani2507
    @alinawani2507 5 หลายเดือนก่อน

    Sir is there any way to learn the whole research methodology and biostatistics from you

  • @evergreatest5869
    @evergreatest5869 ปีที่แล้ว

    How the heck do you do this in R?
    For this set of questions, our outcome variable will be BMI Group (0 = BMI

  • @Carnezu
    @Carnezu ปีที่แล้ว

    Thank you Greg. Using the the 1.2 odds, is it correct to say that on average a person was 20% more likely to sneeze than not sneeze?

  • @user-yg6rp1ou1u
    @user-yg6rp1ou1u 7 หลายเดือนก่อน

    I think talking about Rate, in your description you presented Risk Density not what a rate is?

  • @tabomwita4804
    @tabomwita4804 5 หลายเดือนก่อน

    Thank you so much 🙏

    • @gregmartin
      @gregmartin  5 หลายเดือนก่อน

      Most welcome!

  • @seyedmohamadmahdieskandari1723
    @seyedmohamadmahdieskandari1723 9 หลายเดือนก่อน

    thank you

  • @fatboy117
    @fatboy117 ปีที่แล้ว

    I finally understand... been years... 2nd time watching it after some time... learn even more.

    • @zahiryusuf9496
      @zahiryusuf9496 7 หลายเดือนก่อน

      Risk is often expressed in % while incidence is expressed as "per 1000 persons" or "per 10^n persons)

  • @benh7870
    @benh7870 5 หลายเดือนก่อน

    Please correct me if I am wrong. What I find baffling, is that odds and risk achieve an identical conclusion but simply in a different way. Eg. you say that when odds >1, you are more likely to experience the event than not; well, the same conclusion can be made when risk >0.5. I don't see a functional advantage of one of the other. Is there one?

    • @nawmurr
      @nawmurr 3 หลายเดือนก่อน +1

      As far as I understand, and I'm just learning these myself too so please feel free to educate me further, you cannot calculate the risk ratio without knowing the incidence of the disease. You need to know who got exposed and who didn't to be able to calculate risk ratio.
      You can always count the odds ratio, but it's the easiest to think of it in case-control studies. Where you might know the prevalence of the disease in your population, how many are sick at this time, but you don't know the full amount of exposed people. Thus you can't calculate the risk of getting sick after exposure, but you can calculate the odds, or the relationship between exposure and getting sick.
      Quite similar ratios, so it's not that one is better or worse, you just can't use them interchangeably so there's a need for both.

  • @claudiamariebermudez6727
    @claudiamariebermudez6727 2 หลายเดือนก่อน

    👍

  • @apierce7828
    @apierce7828 ปีที่แล้ว

    Thanks!

    • @gregmartin
      @gregmartin  ปีที่แล้ว

      Welcome. Thanks for watching

  • @gradmedgal2301
    @gradmedgal2301 7 หลายเดือนก่อน

    so risk is only NEW cases and risk and incidence are the same thing? why are they called different things in that case and where would you use one over the other? thanks :)

    • @joanyou6254
      @joanyou6254 6 หลายเดือนก่อน +1

      Sorry this is so late of a reply. Now I'm not totally sure, but I believe there are two terms for incidence. Incidence proportion which is the same thing as risk and incidence rate which looks at time in regard to person years.
      Incidence proportion/Risk is = the # of new cases / population at risk during the given time (either exposed or unexposed)
      Incidence rate = the # of new cases / population at risk given a specific person year