Calculating Matched Pairs Odds Ratio

This tutorial clarifies the process of calculating a matched pairs odds ratio. Notice the different formula and two by two table set up.

[@mahmoudhusayyan6083]

god bless you man, u just saved so many brain cells in my head

[@tylerwatson8261]

I am glad it helped

[@bananafishbonesss]

THANK YOU! THANK YOU! THANK YOU! I TRULY ENJOYED THIS TUTORIAL!

[@09394341]

Awesome. Great explanation

[@niviagomez4712]

Very helpful video, thanks!

[@senogaumar5335]

Amazing! I wish text books make things as simple as this video

[@chengellison2024]

I finally understand this topic!!!!! Thank you sooooooo much!!!!!

[@jmensah07]

Thank you now I finally understand this topic

[@kianureeves2519]

Is the pairing up of case and controls random? That's the only thing I dont understand

[@deborahfrue]

Thank you!

[@Walaa-kh]

Thank you for this !

[@Oberyn_Martell]

Awesome. Gracias.

[@chrisjfox8715]

Very clear explanation here, thank you.
BUT how what would be the MARGINAL Odds Ratio in this case?

[@watsonpho1]

In this case, the odds ratio calculated IS also the marginal OR. That is because we have the entire data set. There is no 3rd or 4th variable that you would have to "colapse" into the margins (or totals for the row and column). If we would not have matched the cases and controls as we did in this example and instead used that matching characteristic as a variable, then we could calculate a conditional and marginal OR to see if these two variables were truly related, or if they were independent and only linked through that third variable.

[@chrisjfox8715]

@@watsonpho1 so if we were to consider a "stack" of, say K, 2x2 tables then any one k'th table would have a Conditional OR however all K tables combined would have a Marginal OR?

[@sherifdarwish-ta3ala_a7keelak]

thank you very much for the video, you mentioned there was a video for odds ratio but `I cannot find it in the channel, can you send me the link please?

[@Mgilsy]

Thank you!