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Message: 1
Date: Thu, 19 Jan 2012 23:22:00 -0500
From: Adam Smith <raptorbio at hotmail.com>
To: <r-sig-mixed-models at r-project.org>
Subject: [R-sig-ME] GLMM parameter interpretation
Message-ID: <BAY170-W226D02A52B38596C044A97A1870 at phx.gbl>
Content-Type: text/plain; charset="iso-8859-1"
All,
A quick question, and an easy one I expect.
Suppose the following generic overdispersed log-linear model:
Count ~ A + B + C + (1|level1) + (1|level2) + (1|obs)
A, B, and C are all factors.
A does not vary within level1 subjects.
B does not vary within level2 subjects.
C varies within level 1 and level 2 subjects.
Does the conditional nature of the GLMM and the lack of variation in A (within level 1 subjects) and B (within level 2 subjects) result in nonsensical or uninterpretable coefficients for these two covariates?
Thanks,
Adam Smith
Dept. Natural Resources Science
105 Coastal Institute in Kingston
University of Rhode Island