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For more details of model comparison, the reader is referred to Thébault et al. 2015b.
Base and alternative results In addition to base model comparison, the alternative outcomes were compared with the real data.
This is because in Bayesian model comparison, the models can be different but the data must be the same.
For model comparison, the SuperPose server was used.
In model comparison, the model with saturable formation of dFdCTP had BIC slightly greater than the one with linear formation.
To facilitate model comparison, the analyses reported below are conducted on the 420 participants who supplied data at baseline and at least 1 follow-up.
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For model comparisons, the log-likelihood, Akaike and Bayes Information Criterions (AIC and BIC, respectively) are provided.
For model comparisons the Deviance Information Criterion (DIC) for mixed‐effects models based on the complete likelihood was used [ 18].
For model comparisons, the minimum value obtained of the objective function (MVOF), defined as minus twice the log likelihood, was used.
To verify the model, comparison of the model outputs with the corresponding results of other studies was carried out.
As observed in table 2, the model comparison on the simulated data selects the proper mechanism in all cases.
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