<p>Models selected by various statistical methods. Columns are individual response variables. All models include age, gender and handedness as covariates. Cell entries are variables selected from 18 metabolite-region combinations. If a cell is empty then no other variables are added. AICC 1, 2 and 3 are the three best models selected by the adjusted Akaike Information Criterion (AICC), which is widely viewed as the best model selection criteria available. This measure is penalized version of minus twice the maximized log-likelihood, where the penalty is a function of the number of predictors in the model. The value of AICC is given in parentheses.</p
<p>AICc: Akaike's Information Criterion corrected for small sample size; ΔAICc: variation in AICc re...
In developing an understanding of real-world problems, researchers develop mathematical and statist...
For regression and time series model selection, Hurvich and Tsai (1989) obtained a bias correction A...
<p>Age was modeled in three age categories (children, adults, elderly). Based on AIC, the two best m...
<p>MOI Models 2–9 were fitted to the pooled data of Study 1 <a href="http://www.plosone.org/article/...
The various debates around model selection paradigms are important, but in lieu of a consensus, ther...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
Model selection using Akaike’s information criterion (AICc) across all regions.</p
Differences in AIC values, ΔAIC = AIC—AICmin, between the different models with 3 hidden states, whe...
model selection, model evaluation, Akaike's information criterion, AIC, Schwarz's, criterion, cluste...
<p>MOI Models 2–9 were fitted to the pooled data of Study 2 <a href="http://www.plosone.org/article/...
<p>Best models according to Akaike Information Criterion corrected for small sample bias (AICc).</p
In Bioinformatics and other areas the model selection is a process of choosing a model from set of c...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>Models tested using the GLM procedure and the associated Akaike Information Criterion (AIC) obtai...
<p>AICc: Akaike's Information Criterion corrected for small sample size; ΔAICc: variation in AICc re...
In developing an understanding of real-world problems, researchers develop mathematical and statist...
For regression and time series model selection, Hurvich and Tsai (1989) obtained a bias correction A...
<p>Age was modeled in three age categories (children, adults, elderly). Based on AIC, the two best m...
<p>MOI Models 2–9 were fitted to the pooled data of Study 1 <a href="http://www.plosone.org/article/...
The various debates around model selection paradigms are important, but in lieu of a consensus, ther...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
Model selection using Akaike’s information criterion (AICc) across all regions.</p
Differences in AIC values, ΔAIC = AIC—AICmin, between the different models with 3 hidden states, whe...
model selection, model evaluation, Akaike's information criterion, AIC, Schwarz's, criterion, cluste...
<p>MOI Models 2–9 were fitted to the pooled data of Study 2 <a href="http://www.plosone.org/article/...
<p>Best models according to Akaike Information Criterion corrected for small sample bias (AICc).</p
In Bioinformatics and other areas the model selection is a process of choosing a model from set of c...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>Models tested using the GLM procedure and the associated Akaike Information Criterion (AIC) obtai...
<p>AICc: Akaike's Information Criterion corrected for small sample size; ΔAICc: variation in AICc re...
In developing an understanding of real-world problems, researchers develop mathematical and statist...
For regression and time series model selection, Hurvich and Tsai (1989) obtained a bias correction A...