Sentence examples for between models using either from inspiring English sources

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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.

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Takara Tomy calls the toys "hybrid" because buyers can choose between models using a pull-back motor or and those that are battery-powered (and come with a remote control), which is quite a stretch.

Each model was evaluated for goodness-of-fit using adjusted R 2, and comparisons were made between models using the Akaike information criterion (AIC).

No material differences were observed between models using Cox-regression time to first event or logistic regression.

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].

Hence, organotypic hippocampal slice cultures are an appropriate compromise between models using dissociated cell cultures and experimental in vivo models with whole living animals [ 4, 13, 22, 23].

The maximum difference in mean grain size is less than 80% between models using the two parameterizations of grain boundary sliding.

Fit quality was compared between models using a Bayesian Information Criterion BICC, See Supplementary file 1 Appendix 3) on Figure 2 figure supplement 5 (the lower the BIC, the better the fit).

Comparisons between models using Poisson and normal distribution approximations did not alter the inference of the results even where counts were smaller, such as for the import data.

We estimated the statistical significance of model parameters, test of trend, and comparison in goodness of fit between models using likelihood ratio chi-square tests with df equal to the difference in number of parameters between the models being compared.

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