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st: Fwd: [MULTILEVEL] New SIM paper by Zhang, Lu, Feng, Thurston, Xia, Zhu, and Tu
From
Stas Kolenikov <[email protected]>
To
[email protected]
Subject
st: Fwd: [MULTILEVEL] New SIM paper by Zhang, Lu, Feng, Thurston, Xia, Zhu, and Tu
Date
Tue, 14 Jun 2011 13:31:52 -0500
People raise other concerns with that paper, as you see below.
---------- Forwarded message ----------
From: David Judkins <[email protected]>
Date: Tue, Jun 14, 2011 at 12:59 PM
Subject: [MULTILEVEL] New SIM paper by Zhang, Lu, Feng, Thurston, Xia,
Zhu, and Tu
To: [email protected]
"On fitting generalize linear mixed effects models for binary
responses using different statistical packages." (pre-publication from
the Wiley website)
Not surprisingly, they got horrible results for a two-level logistic
model using GLIMMIX and some R procedures when the level 1 sample size
is just 3 per level 2 unit. More surprising is that NLMixed still
gave decent results.
They also found startling differences between NLMIXED and glmmML run
with the Gauss-Hermite option. Wonder if this suggests problem in
glmmML.
It would be interesting if someone were to take their examples and run
them under HLM, MLwin, and MPLUS.
One other oddity. Most simulations have looked at the type I error
rates for null hypotheses that involve slope for some predictor =0
versus not 0. They looked at slope=1 versus not 1. It produces very
different results. Any theories on why?
David Judkins
Senior Scientist
Westat
1600 Research Boulevard
Rockville, MD 20850
(301) 315-5970
[email protected]
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Stas Kolenikov, also found at http://stas.kolenikov.name
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