Sentence examples for minimum information criteria from inspiring English sources

In the MIABi framework, work is in progress to crystallize basic key points of agreement on what constitutes a set of minimum information criteria.

In order to facilitate scientific reproducibility and accountability, we have, for the first time, introduced minimum information criteria for our pubilcations, including compliance to a Minimum Information about a Bioinformatics Investigation (MIABi).

Models' goodness of fit was compared based on the minimum Akaike information criterion (AIC).

Minimum Akaike information criterion estimation was used to determine the simplest effective pharmacokinetic model.

Model selection and validation took into account the statistical significance of the covariates and the minimum Akaike information criterion (AIC).

We applied the minimum Akaike information criterion (AIC) procedure [ 12], which selects the model with the smallest AIC among the set of models tested.

Among the different candidate Cox models used to analyze the data, the preferred final model was the one with the minimum Akaike information criterion value [ 28].

The phylogenetic tree was constructed based on the best fit model of nucleotide substitution, which was selected from among 24 models available in the software, using the minimum Akaike Information Criterion (AIC).

Moreover, according to the minimum Akaike information criterion (AIC), the best patterns for inheritance of miR-146a C > G, miR-149 T > C, miR-196a2 T > C and miR-499 T > C SNPs were recessive model, dominant model, additive model, and codominant model, respectively (see Additional file 1: Table S1).

Each of the FC tests were linearly regressed on the Body function, Participation, Environmental and Personal variables by the minimum Bayesian Information Criterion (BIC), which is strongly consistent in finding the best model and often provides interpretable results for practical purposes [ 41, 42].

To compare models with different complexity we use the Minimum Message Length information criteria that implement the trade-off between the number of components and data fit log-likelihood.