The Cox multivariate model selected by Collett's Model Selection approach contained cognitive functioning, global health status and social functioning in addition to the selected clinical factors (Table 3).
We used a model selection approach based on the minimum AIC criteria to select the best SDMs.
Bayesian Best Subset Regression (BBSR) [ 8] has been proposed as a novel model selection approach, which uses Bayesian Information Criterion (BIC) to select an optimal model for each target gene.
The model selection approach is based on Akaike's Information Criterion (AIC).
Key variables influencing snow leopard habitat use were identified using Information Theory based model selection approach.
b) Results of lowest BIC model selection approach using an exhaustive search of all potential model permutations.
For a rigorous assessment of this range, we employ a subset of the model selection approach described by Clauset and colleagues [24].
Using an information-theoretic model selection approach, logistic regression models predicting the occupancy of gliders at the stand- and landscape-scales were developed and compared.
To determine if a relationship exists between MCS and REP, we employed an information theoretic model selection approach.
Previously, we used a model selection approach to derive the form for Z that best fit observed wildebeest movement data.
P-values produced by this model selection approach are often conservative (i.e., higher than they should be: [44]).
