A note on the comparison of mixed-effects models for longitudinal studies
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10 dic 2016
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 10 dic 2016
Pagine: 165 - 173
DOI: https://doi.org/10.1515/bile-2016-0012
Parole chiave
© 2016 Alicja Szabelska-Beręsewicz et al., published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
This paper concerns methods of choosing appropriate models for longitudinal studies. Attention is paid to three criteria: the marginal Akaike Information Criterion (mAIC), the conditional Akaike Information Criterion (cAIC), and the corrected conditional Akaike Information Criterion (ccAIC). We consider these criteria based on an example concerning the effect of storage time and addition of flaxseed (