DICs difference when comparing models after MCMC
Posted: Tue Mar 23, 2021 5:21 pm
Hello,
I am comparing two models with a binary response variable with MCMC.
Model 1 is a single level model, model 2 is a two level models.
I understand that in this context, the DIC statistics should be used to compare models, and that the model with the lowest DIC is a better fit.
Is there a value for the difference in DICS that is used to consider that the difference between models is statistically significant (ie a value equivalent to p<0.05 in non-mcmc models)?
I know such "magical" values are somehow controversial, but they would be helpful to explain the results to readers that are not familiar with MCMC.
Thank you .
Manuel
I am comparing two models with a binary response variable with MCMC.
Model 1 is a single level model, model 2 is a two level models.
I understand that in this context, the DIC statistics should be used to compare models, and that the model with the lowest DIC is a better fit.
Is there a value for the difference in DICS that is used to consider that the difference between models is statistically significant (ie a value equivalent to p<0.05 in non-mcmc models)?
I know such "magical" values are somehow controversial, but they would be helpful to explain the results to readers that are not familiar with MCMC.
Thank you .
Manuel