The lowest quasi-information criterion was seen for the 4-year weighted cumulative exposures model, which showed a significantly greater decline rate per one-unit increase in weighted mean SDD (MD ...

However, the best method was the Bayesian Information Criterion (BIC) ratio, which is similar to chi-squared but includes a penalty for complexity, which can eliminate random noise.

The final plot in the bottom right corner of the figure plots the Bayesian Information Criterion (BIC) for an exponential function against the BIC for a straight line when each was fitted to the ...

Whether the large effect size of endovascular thrombectomy (EVT) for stroke due to large-vessel occlusion applies to stroke due to medium-vessel occlusion is unclear.

Watanabe, S. (2010) Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory. The Journal of Machine Learning Research, 11, 3571-3594.

Statistical evaluation metrics, including Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), log-likelihood, and Pseudo-R2, were employed to assess model performance across ...

A model comparison was conducted using the Bayes information criterion (BIC). After model fit, we tested the model assumptions, that is, linearity in the logit for continuous variables, the absence of ...

How (most of) our polling averages work An explanation of the methodology for most of 538's current polling averages.

The following fitting metrics were used in this study to select the optimal number of profiles: the Bayesian Information Criterion (BIC), the Akaike Information Criterion (AIC), and the Bootstrap ...