This was genuinely so helpful, i am a fan now! Graduate stats is kicking my butt but this video let me be able to complete my lab and actually understand the output
Great video. You explain things well, your voice is clear and bright and easy to understand and you have good sound quality which is often rare in statistics videos I find on youtube. This was really helpful. Thanks for posting.
Thanks Jelly~ I have a question. Do you know how to run a logistic regression with instrumental variable in SAS ? It seems like we could use "proc qlim" ? Yet, I still do not know how to specify the model statement...Are the following codes correct ? Proc Qlim; model Y=X1 control variable /discrete(d=logit) ; model X1 = IV control variable ; Run; Thanks again.
Great video! Just one small thing: in order to interpret exp(beta) as the odds increase factor (odds ratio) like you did for Sex=female, you need to use dummy coding (SAS uses 'effects' coding by default). To do this, include a /param=ref option in the class statement.
Hi Jelly! Once again, thanks so much for posting these videos! How do we apply the log transformation to an exisiting variable to create a new variable?
in a data step you can have a line after the set statement that is: New_Var = log(Old_Var) A simple log() will log a variable or number. Thanks for the kind words as well 😀
One of the best teachers!! Very amazing in explaining!!
This was genuinely so helpful, i am a fan now! Graduate stats is kicking my butt but this video let me be able to complete my lab and actually understand the output
That is amazing! Thanks for the support!
Great video. You explain things well, your voice is clear and bright and easy to understand and you have good sound quality which is often rare in statistics videos I find on youtube. This was really helpful. Thanks for posting.
Thank you for this kind content!
Thanks Jelly~ I have a question. Do you know how to run a logistic regression with instrumental variable in SAS ? It seems like we could use "proc qlim" ? Yet, I still do not know how to specify the model statement...Are the following codes correct ?
Proc Qlim;
model Y=X1 control variable /discrete(d=logit) ;
model X1 = IV control variable ;
Run;
Thanks again.
Great video! Just one small thing: in order to interpret exp(beta) as the odds increase factor (odds ratio) like you did for Sex=female, you need to use dummy coding (SAS uses 'effects' coding by default). To do this, include a /param=ref option in the class statement.
Thank you for this comment!
Thanks Jelly, I was a bit confused about (event =) but you explained that. Thank you !
You are welcome thank you for the comment Miracle 😊
Thank you. Can you pls do a video on proc catmod.
Yes it was published today thank you for the recommendations
Hi Jelly! Once again, thanks so much for posting these videos!
How do we apply the log transformation to an exisiting variable to create a new variable?
in a data step you can have a line after the set statement that is:
New_Var = log(Old_Var)
A simple log() will log a variable or number. Thanks for the kind words as well 😀
Woww this was clutch thank you so much 🤗
Thank you ! So much!
Thanks again! Always so helpful
Thank you!
Thank you
You are welcome!
Thanks
Great job.Please, what is your email, I would like to discuss SAS with you
Thank you. My emails get flooded and take time to respond to. If there is a specific question please feel free to comment here. Thanks so much