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krakla
‎08-21-2021
  • 5 Posts
  • 3 Likes Given
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Re: How to adapt the mixed model and drop the insignificant terms?

by Fluorite | Level 6 in Statistical Procedures
‎08-16-2021 07:22 PM
‎08-16-2021 07:22 PM
Indeed, yes the data is from an observational study. I know about LASSO, but I didn't think it would help because I am looking for a predictive model. I am going to read what you mentioned. Thanks a lot. ... View more

Re: How to adapt the mixed model and drop the insignificant terms?

by Fluorite | Level 6 in Statistical Procedures
‎08-16-2021 07:17 PM
‎08-16-2021 07:17 PM
Thank you. I am going to search for backward elimination using SAS and I think this will help. Also, I will read those papers you mentioned here and see what will happen. ... View more

Re: How to adapt the mixed model and drop the insignificant terms?

by Fluorite | Level 6 in Statistical Procedures
‎08-15-2021 07:12 PM
‎08-15-2021 07:12 PM
Thank you paigeMiller. Yeah, there are about 42 interactions and that's why I tried to make my question more simple. If you can help, I will be thankful. Regards ... View more

Re: How to adapt the mixed model and drop the insignificant terms?

by Fluorite | Level 6 in Statistical Procedures
‎08-14-2021 11:20 PM
‎08-14-2021 11:20 PM
Many thanks PaigeMiller for your advice. Indeed, I know that I can remove the interactions and add them one by one. I need help to do that using macro. I still learning macro (beginner) and that's why I can't do it yet. So, I hope if there is someone who can help me with that. ... View more

How to adapt the mixed model and drop the insignificant terms?

by Fluorite | Level 6 in Statistical Procedures
‎08-14-2021 02:25 PM
‎08-14-2021 02:25 PM
Hello; I have a question related to proc mixed procedure. I have a model as the following   proc mixed data = result covtest method = reml; class student school course exam time; model res = time exam course time*exam time*course time*exam*course / s ; repeated /subject = student(exam) type = un; random school; where res ne .; run; Now, I'd like to adapt the code for the mixed model such that insignificant interactions are dropped 1 by 1 when p > 0.05. This will lead to 4 models in total. Any advice?   Regards ... View more
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‎08-21-2021 08:33 PM
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