If you included one variable at time, the OR would be a crude odds ratio... Therefore in this video the OR is actually adjusted. And variables are actually adjusting for the effect in each other
If the overal p value is not significant that means that the variable shoudnot included in the model. Even if some of the variable modalities have a significant p
I am sure that this is a common dataset you could find in kaggle, or it is also a preinstalled dataset in R. If there's a chance you don't find it, I have it so I can email it to you.
Hey thank you for your video. I have one question. If I have ordinal data (Likert scale) as my independent variables, should I put it into categorical covariates?
I did it and everything went well. But one thing pokes mi in the eye. I've done the regression for 6 discrete variables as a possible predictor of a binary outcome. For one variable I got a really large number in the table, above 1000 for the Exp (B) and 15000+ for the Upper limit of CI interval 95%
Hi, I have a question. Hopefully you reply. When overall p-value is significant but whole variables p-value are not significant. What will be the comment?
Really nice video. Thank you! But i have a question, how do i do the Omnibus Test for a single variable, like, if i have 7 variabile and i want to start analysing the single omnibus test for single variables not by whole model. Hope you reply, thank you
great video, i have a question, i read that you have to check if your data meets the conditions/assumptions for logistic regression. Does SPSS do that automatically or have you done it before?
That was a really nice, clear example, and I love that you provided an example writeup as well. That is going to make things so much easier when analysing my data. Sincerely, thanks!
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If you included one variable at time, the OR would be a crude odds ratio... Therefore in this video the OR is actually adjusted. And variables are actually adjusting for the effect in each other
The best video about logistic regression that i have ever seen .. thank you for your effort
If the overal p value is not significant that means that the variable shoudnot included in the model. Even if some of the variable modalities have a significant p
There is a lot of mouth noises and mouth clicks in this video.
Great video. Any chance the data is available somewhere for testing this myself?
I am sure that this is a common dataset you could find in kaggle, or it is also a preinstalled dataset in R. If there's a chance you don't find it, I have it so I can email it to you.
@@fabianperez1678 can you alsi send me the data?
Hey this video was so precise and super helpful. Thanks.
I love you for this, you've just helped me immensely with my project work
Is Exp(B) value is odd ratio?
yes, it means OR
Hey thank you for your video. I have one question. If I have ordinal data (Likert scale) as my independent variables, should I put it into categorical covariates?
This is really good, do you have a video on multinomial pls? Thanks
Excellent explanation. Thank you so much for helping me understand
great work
VERY NICE LECTURE. THANK YOU VERY MUCH
I did it and everything went well. But one thing pokes mi in the eye. I've done the regression for 6 discrete variables as a possible predictor of a binary outcome. For one variable I got a really large number in the table, above 1000 for the Exp (B) and 15000+ for the Upper limit of CI interval 95%
what if theres 3 dependent variable outcomes? (3 stages of a disease)
is that hermione
very helpful, thanks a lot for your time and knowledge
Thanks for the helpful explanation!
Hi, I have a question. Hopefully you reply.
When overall p-value is significant but whole variables p-value are not significant.
What will be the comment?
Life savior ❤️
This is so good. Thanks a lot for explaining it clearly. I hope you make such videos for other topics also
Really nice video. Thank you! But i have a question, how do i do the Omnibus Test for a single variable, like, if i have 7 variabile and i want to start analysing the single omnibus test for single variables not by whole model. Hope you reply, thank you
great video, i have a question, i read that you have to check if your data meets the conditions/assumptions for logistic regression. Does SPSS do that automatically or have you done it before?
That was a really nice, clear example, and I love that you provided an example writeup as well. That is going to make things so much easier when analysing my data. Sincerely, thanks!
Thank you for the video. Could you please share the data set.
Great explanation! Thank you!
so the data is adjusted for survived group now?
The best vid on binary logistic regression, thank you a lot.
wonderful video! Thank you!!
Congratulation!!!
Thank you
Thank you so much .. may Allah be with you