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To determine the proportion of variance due to genotypes associated with ECG trait variability, narrow-sense heritabilities were computed with and without genotypic data (Isaacs et al. 2007); comparison of the log likelihoods of these models using likelihood ratio tests allowed us to assess the significance of the differences.
We compared the two models using likelihood ratio tests to identify the higher model likelihood.
We compared models with Akaike's Information Criteria (AIC)[54], corrected for small sample bias (AICc)[55] with additional comparisons for nested models using likelihood ratio tests (LRT).
We compare nested models using likelihood ratio tests, and non-nested models using the small sample Akaike Information Criterion (AICc) [28].
We used CODEML and tested two pairs of models using likelihood ratio tests.
We compared stratified to unstratified models using likelihood ratio tests (LRT).
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The statistical significance of differences among cooking methods and species was assessed by comparing residual deviances from the fitted models using likelihood-ratio tests.
To investigate the relationship between the thyroid radiation dose and the risk of thyroid cancer, we compared nested models, using likelihood-ratio tests (Moolgavkar and Venzon, 1987).
Differences in glucose regulation by age groups, obesity and central obesity were compared with logistic regression models, using likelihood-ratio tests.
Interaction terms between drug injection and each substance use related variable were created separately, added one by one to the models, and compared with main effect models using likelihood-ratio tests.
Estimates of net efficiency as a function of fish length were obtained by sequentially fitting a nested hierarchy of statistical models to the efficiency and length data for each species and choosing the best model using likelihood ratio tests.
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