a<p>All correlations were in infected subjects.</p>b<p><b>DIC</b> (deviance information criteria) is a generalization of AIC in a Bayesian setting. DIC was not applicable (NA) in model 4, which assumed a correlation between more than two tests.</p>c<p><b>AIC</b> (akaike information criteria) were used to evaluate goodness of model fit and to compare models.</p><p>A difference in DIC or AIC of more than 10 indicated definite support to the model with the lower value, while a difference of between 5 and 10 was considered substantial, and less than 5 inconclusive.</p
Model selection criteria for the best fitted models in INLA: Mean deviance (), number of effective p...
<p>Comparison of the values for the deviance information criterion (DIC) between models (MCMCglmm) t...
A variety of model selection criteria have been developed, of general and specific types. Most of th...
The deviance information criterion (DIC) is widely used for Bayesian model comparison, despite the l...
The deviance information criterion (DIC) is widely used for Bayesian model comparison, despite the l...
<p>Deviance Information Criterions (DIC) for the five models tested, ordered from the best to the wo...
<p>DIC has been computed from MCMC samples; preferred modelling hypotheses are characterized by lowe...
Deviance information criterion (DIC) of each model and fixed effects that were significant as a resu...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>Digits after decimal point have been omitted from the table.</p><p>Setting 1: <i>precxt</i> = 200...
Singapore MOE Academic Research Fund Tier 3Newer version at http://www.mysmu.edu/faculty/yujun/Resea...
<p>Model selection based on deviance information criterion (DIC). Most parsimonious models are highl...
Singapore MOE Academic Research Fund Tier 3Newer version at http://www.mysmu.edu/faculty/yujun/Resea...
Information criteria (ICs) based on penalized likelihood, such as Akaike’s information criterion (AI...
The deviance information criterion (DIC) introduced by Spiegelhalter et al. (2002) for model assessm...
Model selection criteria for the best fitted models in INLA: Mean deviance (), number of effective p...
<p>Comparison of the values for the deviance information criterion (DIC) between models (MCMCglmm) t...
A variety of model selection criteria have been developed, of general and specific types. Most of th...
The deviance information criterion (DIC) is widely used for Bayesian model comparison, despite the l...
The deviance information criterion (DIC) is widely used for Bayesian model comparison, despite the l...
<p>Deviance Information Criterions (DIC) for the five models tested, ordered from the best to the wo...
<p>DIC has been computed from MCMC samples; preferred modelling hypotheses are characterized by lowe...
Deviance information criterion (DIC) of each model and fixed effects that were significant as a resu...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>Digits after decimal point have been omitted from the table.</p><p>Setting 1: <i>precxt</i> = 200...
Singapore MOE Academic Research Fund Tier 3Newer version at http://www.mysmu.edu/faculty/yujun/Resea...
<p>Model selection based on deviance information criterion (DIC). Most parsimonious models are highl...
Singapore MOE Academic Research Fund Tier 3Newer version at http://www.mysmu.edu/faculty/yujun/Resea...
Information criteria (ICs) based on penalized likelihood, such as Akaike’s information criterion (AI...
The deviance information criterion (DIC) introduced by Spiegelhalter et al. (2002) for model assessm...
Model selection criteria for the best fitted models in INLA: Mean deviance (), number of effective p...
<p>Comparison of the values for the deviance information criterion (DIC) between models (MCMCglmm) t...
A variety of model selection criteria have been developed, of general and specific types. Most of th...