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In addition, QTL data from rice have been useful in genetic studies of other grass species, which can be compared using information from syntenic regions in their genomes (Armstead et al. 2008; Jo et al. 2008).

In general, if GLMMs are estimated using a full likelihood approach, models can be compared using information criteria such as Akaike Information Criterion (AIC) or Bayesian Information Criterion (BIC) [ 16].

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The same conclusion holds when such models are compared using information criteria (AIC and BIC, Table 3).

To select among error autocorrelation structures, nested models were compared using likelihood-ratio tests and non-nested models were compared using information criteria statistics (Pinheiro and Bates, 2000).

In addition, the two models can be compared using Akaike's information criterion (AIC) [ 11], and a discussion of this approach can be found in Motulsky and Christopoulos [ 12] (which can also be obtained at ).

The results also show that the side-by-side display of evidence, in which the options can be compared using probabilistic outcome information, was not associated with respondents being more or less likely to rate an aid as "balanced", compared to the side-by-side display of arguments (F 2,7) = 2.77, p = 0.130).

These results can be compared using the Akaike Bayesian information criterion (ABIC; Akaike 1980).

Models were compared using Akaike information criterion (AIC) and Bayesian information criterion (BIC).

Models were compared using Akaike information criterion (AIC).

Models were compared using Akaike information criteria.

Model fits were compared using Akaike information criteria (18).

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