This is the best tutorial for odds ratio on SPSS. Truly appreciate.
@Belaynehyitayew-x7l12 күн бұрын
Thanks for your best presentation
@nate3114 Жыл бұрын
You're the best sir. I have been searching for a video to explain AOR for days, thank u very much, and thank God I didn't stop searching. Never give up guyz
@juliazhu788511 ай бұрын
Indeed, the best tutorial for AOR vs COR! Thanks so much!
@ingridwortisulemyong35543 ай бұрын
Great video. Thank you for the clear explanation
@BamgboyeAfolabi2 жыл бұрын
Thank you very much. I sincerely appreciate your efforts in educating me.
@trivedigunjan Жыл бұрын
Fantastic. Detailed. Thank you very much.
@puneetgupta7568 Жыл бұрын
Very informative talk. how can I get dataset used by you for practice my self
@tahiralemu35764 ай бұрын
TNX a lot dear ,for nice tutor
@aseelalharbi48079 ай бұрын
Which one shall I use in my analysis crude or adjusted OR? I mean during data analysis and interpret findings. The other question how can I design graphs for this result?
@wawileake6455 Жыл бұрын
thank you very much it was very helpfull video.
@saradapaudel60152 жыл бұрын
What are the conditions to use Wald values and Exp B values?
@fmudzengerere Жыл бұрын
This is great. Thank you
@anthonybegyinah9320 Жыл бұрын
Hi... Please looking the aOR the values were 0.36 (1.015 - 1.539 ). So did you get 0.36 ( 0.19 - 0.68). Need a little help here..
@Marqueee.z9 ай бұрын
Thank you for this! But I am confused of where did you get the “1” in both crude and odds ratio presentation table? Also, I hope you could also provide a prevalence percentage tutorial in spss.
@fathiahassan68258 ай бұрын
Mee too i need this pls let me know if you get it .
@maxwellkhamathor37268 ай бұрын
Same here
@GeorgeGerald-bf5rf8 ай бұрын
1 is assigned for "reference category" of which OR of other category is calculated. E.g take Sex/Gender as independent variable, give males 1 (reference category) then you calculate the OR of females
@T2daMFH5 ай бұрын
Video is very helpful, but my subcategories do not give the most reliable information.
@bereketregassa4760 Жыл бұрын
Thank you!! brother i need the data for exercising
@asnakegashaw51 Жыл бұрын
Good Job, go on! bro
@nurhussen58002 жыл бұрын
what is the problem or reason for having inflated OR & wide CI
@ethioresearch6932 жыл бұрын
Dear Nur thank you very much for your interesting questions. When ever we do parametric analysis, we have to make sure that all the assumptions are met. But if we failed to do that, problem like inflated OR or even 0 OR and wide CI will happens. when sometimes have small number of sample size, observation may have a homogeneity towards our study variables hence inflated OR and when our data contains a wide variability towards our study variable will result in wider CI.
@sabrinasultanarahman6241 Жыл бұрын
Thank you so much 😢❤
@ethioresearch693 Жыл бұрын
You're so welcome!
@sabrinasultanarahman6241 Жыл бұрын
@@ethioresearch693 Hi, Can you please make a video on Decomposition Analysis.. much needed 😭