[R-sig-ME] Likelihood Ratio Test for non-nested mixed-effect-model comparison

[Francesco Sigona]

Hi all,

I need to compare two mixed-effects-models that would explain a 
dependent variable by means of two completely different sets of fixed 
factors (my random intercept is the same in both models).

I understand that the anova() cannot be used to perform a comparison via 
LRTest in my case, because my models are non-nested.

Thus, I would take the model with the lowest AIC (o BIC) value, but I am 
worried about the statistical significance, so I would prefer a LRTest 
and the related p-value (as provided by anova() for nested models) to 
support my model selection.

My problem is that I don't know how to compare two non-nested 
mixed-effect-models via a LRTest.

Any suggestion?

Thank you in advance.

Francesco

-- 
*Francesco SIGONA*
Electronics engineer 	
Piazza Filippo Muratore
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tel.: +39 0832 335006
fax.: +39 0832 335007

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*Center for Interdisciplinary Research on Language (CRIL) 
<http://www.cril.unisalento.it> &
Cognitive Neuroscience of Language and Speech Sciences Lab (CNLSS) * 	
*Dipartimento di Studi umanistici
Università del Salento * 	

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*Laboratorio Diffuso di Ricerca Interdisciplinare Applicata alla Medicina
(DReAM) *