Relative risk and risk ratios

[@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

[@rexigwe8759]

Can I email you please

[@SheilaPierre-v6u]

OMG!!!!! It took your 8 min video to break down what I've been trying to wrap my head around for over 8 months!!!! Thank you!!!!!!

[@ThEKeeYs]

i dont know why professors cant teach like this dude .. amazing video my guy .. keep up the good work .. i finally understood these concepts .. thanks to you .. peace and love

[@matchandmonolids]

I am doing my PhD in Epidemiology, currently studying for my qualifying exams and I can say these videos are SO informative and help break down concepts I learned years ago in such a fun way. Thank you for your hard work and amazing knowledge and communication abilities Dr. Greg!

[@petermose5110]

Just spent a whole day trying to understand this concept! you just broke it down in 8! thank you.

[@DustyLambert]

I used relative risk for my PhD dissertation and wish this video was posted prior. Clear, simple explanation!

[@caitlinhough1200]

This video is amazing! Not only is it helpful in understanding relative risk and risk ratios, but it's also super entertaining!

[@gregmartin]

Wow so glad you found it helpful. Thank you!

[@alexlimwagu7137]

I appreciate, your examples makes more clarity to biostats since it so clear to me

[@gregmartin]

So happy to hear that, thank you

[@MadanKumar-uy4iu]

Dr.Greg ... You are really amazing. Its evry easy to grasp. Your explanation is crisp and clear... Thank you GURUJi🙏

[@gregmartin]

Happy to hear that! You are most welcome!

[@anthoniushenry7425]

Dr. Greg I need your please

[@nanura2006]

Thank you so much, Dr. Martin. I like how you simplify concepts! thank you

[@samnichols4361]

This was such an easy and good video that really helped me to understand what i'm looking at in the outputs - so helpful!

[@chessgold8768]

Amazing explanation.. finally i understood these concepts in cohort studies..

[@umothokinya-c2d]

Wow, this is brilliant. Thank you alll the way from Kenya.

[@genifromalamp7]

Your videos made all the different "tests" make sense by giving me a great 30,000' view, and then sorting them visually. All the visuals REALLY help!! I'm taking a M.S. in Global Health online and your lectures are a fabulous adjunct to what I am learning. Soooooo helpful! Thank you!!

[@ujuwanokeke4198]

Hi Good evening I have interest in global health studies .I need the information on how to register for the study . Will be glad if you reply

[@genifromalamp7]

@ UNIVERSITY of Eastern Africa, Baraton

[@michaelodamelartey1122]

Powerful one there, Dr Greg. It is just on point with every explanation 👍🏾

[@gregmartin]

Thank you for the kind feedback :)

[@kirankumarreddyn815]

1st video on KZbin that I have to use that 0.75x but thank u its was very wonderful

[@gregmartin]

You’re welcome 😊

[@mariapuchinsky97]

You're awesome!!! Short consice and easily understood.

[@gregmartin]

Thanks very much. 😀😀😀

[@elizabethcani951]

Excellent session! Thank you for your help and for your time answering all the comments!

[@gregmartin]

Happy to help always. Thank you for the feedback.

[@mondlintuli6886]

@@gregmartin Hi Doc, I would like to know if there is a formula to calculate Relative Risk in ambispective cohort studies.

[@viconne663]

the best explanation so far! Thank you so much

[@jamilaaden4603]

Thank you so much you are great teacher

[@gregmartin]

Thank you for the feedback.

[@healthhub6953]

Such a fantastic explanation! Thank you so much, Dr. Martin :) you've been an inspiration to me to start my own channel and inform folks about the field of public health!

[@gregmartin]

You are very welcome and wow, such a lovely feedback! Thank you and more power on your upcoming channel :)

[@Islam12b2]

Thanks alot it really helping studying Epidemiology /biostatistics.

[@gregmartin]

you are most welcome.

[@mohamedmarie2416]

God bless you. You made me happy because I understood it.continue such videos please.

[@gregmartin]

Thank you for the feedback. Much appreciated.

[@weston.weston]

Such a great explanation! I am enjoying your KZbin channel.

[@gregmartin]

Thank you for the feedback. Glad you enjoyed it!

[@AhmedFathy-lt6wl]

Wow! This was a great video. I'm having a hard time understanding some public health and biostat concepts, but your channel helps a lot. Thanks!

[@gregmartin]

So nice of you to say - thanks for the great feedback!!

[@Rose-bs4kk]

Where have you been? This is the easiest way to understand this. Thank you!

[@Startpixie12]

This was really great thanks so much ❤

[@gregmartin]

you are most welcome

[@azfarbukhary]

Another fantastic video. May I know which software you have used for making this video??

[@nikkihuang7635]

this is fantastic, you are such a great teacher, thank you!

[@gregmartin]

Thank you for the feedback. Glad you enjoyed it!

[@elanormurphy]

such a helpful video!!! explains it so clearly and in such an easy to understand way!!

[@gregmartin]

Glad it was helpful! Thanks

[@RukmanManapurath]

This is amazing. Please do create more such contents.

[@gregmartin]

Will definitely do!! Thank you, cheers!

[@dr.isaacmartinez9757]

I love your videos, can you tell me how you edit your videos?

[@localasian]

Thank you Dr Greg

[@amchedli]

Thanks for helping me get a medical degree 🤣 You do a great job

[@senatorbernarda401]

Hello Dr. Martin At first, I really wanna thank you for this very easy explain way for the subjects in general and this one in particular. I have a question? How can in know the last updates in a field (any field) For me, Epidemiology? Thank you for answer J.A from Iraq

[@thisumamarasinghe8171]

Thank you😊

[@gregmartin]

You're welcome 😊

[@esthertusasiirwe8515]

This has saved me alot Thanks

[@seyedmohamadmahdieskandari1723]

thank you

[@jalanimoeono3088]

thank you so much sir your explanation was VERY helpful!

[@gregmartin]

Glad it helped! Thank you for the feedback!

[@hopechisakula9154]

Thanks

[@mranjiny3963]

Thank you so much 🥰🙏

[@gregmartin]

You are welcome!

[@JohenMiler]

great explanation. sweet and short.

[@gregmartin]

Thank you! I'm glad you found the explanation helpful and to the point.

[@mohammedelbarbary8708]

Very clear thank you.

[@mohammadanisuzzaman7536]

Fantastic lecture, Dr. Greg. I am afraid, there is a typo in the infographic. In the infographic, it is shown for the non-smokers is, 53+798=842. this would be, 53+789 = 842. thanks.

[@shamusenright5387]

I noticed that too after putting the numbers into a spreadsheet.

[@27Denty]

Very helpful thanks!

[@zahranilukman5522]

Is there a different between relative risk and risk ratio

[@m.kd12]

thanks so much

[@gregmartin]

Thank you! I'm thrilled you found it useful.

[@jyotsanasingh9570]

Excellent. Helped me so much.🙌

[@gregmartin]

Fantastic! Thank you for the feedback.

[@jussienfleurinor6609]

Great!

[@ZubaB]

great one as always

[@gregmartin]

Thank you! Cheers!

[@janaemara2373]

Something is wrong with the data you gave for the smoking during pregnancy study. 53 + 937 does not equal 842 sir

[@KFbusiness-r2t]

The 937 is for the column named normal birth weight

[@anitaeasamoah]

Good explanation

[@gregmartin]

Great thanks!

[@svitlanastakhiv8294]

wow that's great

[@AWhite_]

You are great budyy

[@gregmartin]

Thank you!

[@guillermosanchez1964]

min 6:03: 798 + 53 = 851 ??

[@ta3iyoyo742]

❤❤

[@DebraRamnanan]

I LOVE IRLAND

[@oliviohonvo1873]

I have big background in epidemiology. But in french

[@kathytoms1008]

This feels like population health asmr

[@matchandmonolids]

Just wanted to let you know that there is a miscalculation- the number should be 851 not 842 :)

[@claudiamariebermudez6727]

😃

[@MA-oo4hj]

Woow! You are gread

[@fatboy117]

I need my money back from Kaplan...

[@Xipalaje]

😂😂

[@localasian]

Thank you Dr Greg

[@chamroenpall833]

Thanks you

[@gregmartin]

Most welcome!

[@localasian]

Thank you Dr Greg

[@gregmartin]

You are very welcome!