Risk, Rate and Odds

If you're working in public health, epidemiology or any of the medical disciplines, then you've probably come across the terms risk, rate and odds. These ideas seem similar but have important differences.
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This channel posts global health and public health teaching videos and videos about how to find the right job in global health. If you haven't already, please consider subscribing to this channel and becoming part of this community. The channel also provides teaching on research methods, statistical analysis and how to write and publish a scientific paper.
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[@gregmartin]

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]

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

[@gregmartin]

Glad it was helpful :)

[@nastarannazari5062]

Thank you SO MUCH.

[@حسنمالكعراكعبودالمهداوي]

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 ?

[@abdulaiconteh8451]

I'm really in need to understand some of this studies

[@user-yg6rp1ou1u]

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

[@tabomwita4804]

Thank you so much 🙏

[@gregmartin]

Most welcome!

[@alinawani2507]

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

[@alinawani2507]

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

[@dizetoot]

Such a great clear video - thanks!

[@selmak3286]

Is risk the same as cumulative incidence in this video?

[@plotspark24]

You are a hero

[@evergreatest5869]

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

[@Carnezu]

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?

[@seyedmohamadmahdieskandari1723]

thank you

[@yaelv4712]

Excellent!

[@benh7870]

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]

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.

[@alejandraespinosahuerta738]

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!

[@Qiuxe]

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)

[@fatboy117]

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

[@zahiryusuf9496]

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

[@gradmedgal2301]

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]

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

[@apierce7828]

Thanks!

[@gregmartin]

Welcome. Thanks for watching

[@marshapple]

life saver

[@claudiamariebermudez6727]

👍

[@محمدرفیعزاده-خ3ض]

thank you

[@gregmartin]

You're welcome