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Each model was evaluated for goodness-of-fit using adjusted R 2, and comparisons were made between models using the Akaike information criterion (AIC).
As can be seen, there is a clear separation between models using the COM mechanism and models using the Random mechanism, where the former have a lower deviation.
Accuracies were compared between models using the method proposed in [ 32].
The maximum difference in mean grain size is less than 80% between models using the two parameterizations of grain boundary sliding.
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MI and NF were compared between the models using the independent samples t test.
To test for the significance of effects between nested models, we compared the difference in deviance between these different models using the F test.
We developed autoregressive integrated moving average (ARIMA) models on the data collected between 1985 to 1994, and then validated the models using the data collected between 1995 and 1996.
Due to the relatively small range in body weight and age of the patients in the current zidovudine data set (Table 1 ), only small differences in objective function and diagnostics between models using either of the three covariates or between models using these covariates in different equations (i.e., linear, exponential, or sigmoidal) were obtained.
We found no difference in the excess hazards ratios between these models and the models using the entire dataset (data not shown).
Model fit was assessed and compared between fixed- and random-effects models using the deviance information criterion (DIC) [ 28].
Review quality was compared between open and single-blind review models using the unpaired Mann-Whitney U test.
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