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Without the same parameters in my models, comparisons are difficult.
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To select the final multilevel multivariate models, comparisons were made among models by means of the likelihood-ratio test.
The interpretation of the estimated position effects and model comparisons are explained.
In this respect, discussions in model comparisons are based on the available data in this study.
Cross-validation ensures that model comparisons are relevant and not due to over-fitting.
Models and model comparisons are described and discussed in [ 27, 81– 81].
The results of the model comparisons are reported in Table 6.
The posterior distributions of model comparisons are presented in Table 2.
External validation and model comparisons are therefore required to guide selection among the models for use in routine clinical practice.
It is also important to investigate whether these tools help to evaluate different model alternatives and whether the model comparisons are valid.
More discussion about the models comparison is shown in the following section.
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