<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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 (<italic>Linum usitatissimum</italic> L.) preparations (i.e. ground flaxseeds, defatted flaxseed meal and flaxseed ethanolic extract) on changes in lipid oxidation and fatty acid composition during the storage of liver pâté with partial substitution of fat with flax oil.</p></abstract>

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 (Linum usitatissimum L.) preparations (i.e. ground flaxseeds, defatted flaxseed meal and flaxseed ethanolic extract) on changes in lipid oxidation and fatty acid composition during the storage of liver pâté with partial substitution of fat with flax oil.

A note on the comparison of mixed-effects models for longitudinal studies

Department of Mathematical and Statistical Methods, Poznan University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań,

Institute of Meat Technology, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 Poznań,

Biometrical Letters

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"A note on the comparison of mixed-effects models for longitudinal studies"}

This paper concerns methods of choosing appropriate models for longitudinal studies. Attention is paid to three criteria: the marginal Akaike Information...

A note on the comparison of mixed-effects models for longitudinal studies

Pubblicato online: 10 dic 2016

Pagine: 165 - 173

DOI: https://doi.org/10.1515/bile-2016-0012

Parole chiave
fixed and mixed models, marginal Akaike Information Criterion, conditional Akaike Information Criterion, corrected conditional Akaike Information Criterion

© 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.

A note on the comparison of mixed-effects models for longitudinal studies

Pubblicato online: 10 dic 2016

Pagine: 165 - 173

DOI: https://doi.org/10.1515/bile-2016-0012

Parole chiavefixed and mixed models, marginal Akaike Information Criterion, conditional Akaike Information Criterion, corrected conditional Akaike Information Criterion

© 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.

Parole chiave
fixed and mixed models, marginal Akaike Information Criterion, conditional Akaike Information Criterion, corrected conditional Akaike Information Criterion