turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- JMP Academic
- :
- JMP Academic Discussions Forum
- :
- Method to use in random effects model?

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jul 20, 2016 5:32 AM
(1529 views)

1 ACCEPTED SOLUTION

Accepted Solutions

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Solution

REML estimates are independent of the fixed effects in the models. When data are balanced, or nearly balanced, this will make little difference and the estimates should be close. When data are unbalanced, EMS estimates may become adversely effected (even to the point of giving you negative variance components). You don't lose anything by sticking with the default REML. About the only time I would use EMS is when I wanted to match historical results in cases where EMS was used.

Don

3 REPLIES

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

REML estimates are independent of the fixed effects in the models. When data are balanced, or nearly balanced, this will make little difference and the estimates should be close. When data are unbalanced, EMS estimates may become adversely effected (even to the point of giving you negative variance components). You don't lose anything by sticking with the default REML. About the only time I would use EMS is when I wanted to match historical results in cases where EMS was used.

Don

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Sep 9, 2016 11:20 AM
(1428 views)

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

May 23, 2017 12:22 PM
(784 views)

As a quick follow-on.... I am trying to fit a random effect in a model that has a binary outcome. JMP13Pro does not seem to be able to do this... Is there a work-around ?

thx

jake

PS- i've been asking JMP tech support to implement this since JMP6.. :((