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The conceptual framework proposed here draws support from discriminative methods using likelihood ratios.
The model was compared with the LMM fitted in step 2 using likelihood ratio testing.
At CSEP testing centers, all the rate-based models are evaluated by using likelihood tests.
For all models, the significance of the main effect was tested using likelihood ratio tests.
Models were compared using likelihood ratio tests.
The genotypes were compared using Likelihood Ratio and Pearson analyses.
Different models were compared using likelihood ratio chi-square statistics.
Subsequently, the significance of 'litter' and 'dam' random effects were determined using likelihood ratio tests.
We also evaluated the contribution of SP alone, AL alone or both, using likelihood ratio tests.
Significant model improvement was assessed using likelihood ratio tests (LRT) to compare nested models.
The fit of the models were compared using likelihood ratio tests (LRT) with CompareDistribution.bf in HYPHY.
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