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- Method to use in random effects model?

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Jul 20, 2016 5:32 AM
(1304 views)

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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

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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

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Sep 9, 2016 11:20 AM
(1203 views)

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May 23, 2017 12:22 PM
(559 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.. :((