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AIC stands for the Akaike Information Criterion, which is one technique used to select the best model from a class of models using a penalized likelihood. A smaller AIC implies a better model.
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How to refer to AIC model-averaged parameters and confidence intervals
The estimates are weighted based on the relative importance of your models (the AIC values/ranking of your models)and includes only the models for which the variable of interest is included. … In your results section, include a table with each of your models and their AIC, delta AIC and AICweight values. …