User Community
cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • Learn how to build custom Python data connectors and further customize JMP’s Data Connector Framework with the Python Data Connector Demo, available now in the JMP Marketplace!
  • See how to create experiments to support product design and ID useful product features. Register for June 12 webinar, 2pm US Eastern Time.

Discussions

Solve problems, and share tips and tricks with other JMP users.
Choose Language Hide Translation Bar
billi
billi
Level V

how to add confounding variable

Created: Jan 6, 2020 12:39 PM  |  Last Modified: Jan 6, 2020 10:01 AM (1801 views)

I am working with a multi level data. Data is attached.

In this dataset, I have 8- X variable: cumulative risk (continuous), all other risk (dichotomous). 

3- Y variables: insurance and practice (dichotomous) and time (continuous)

I have one confounding variable Age (continuous). 

I will have to add random effect to X variable. But I am confused how to add confounding variable to this analysis. Can anybody please show me how to do that? Also, can this analysis be done in JMP if add random effect?

 

Thanks in advance

test data.jmp
0 Kudos
0 REPLIES 0

Recommended Articles