A note on the comparison of mixed-effects models for longitudinal studies
Alicja Szabelska-Beręsewicz ; Agnieszka Bilska ; Katarzyna Waszkowiak ; Idzi Siatkowski
Biometrical Letters, Tome 53 (2016), p. 165-173 / Harvested from The Polish Digital Mathematics Library

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.

Publié le : 2016-01-01
EUDML-ID : urn:eudml:doc:287146
@article{bwmeta1.element.doi-10_1515_bile-2016-0012,
     author = {Alicja Szabelska-Ber\k esewicz and Agnieszka Bilska and Katarzyna Waszkowiak and Idzi Siatkowski},
     title = {A note on the comparison of mixed-effects models for longitudinal studies},
     journal = {Biometrical Letters},
     volume = {53},
     year = {2016},
     pages = {165-173},
     language = {en},
     url = {http://dml.mathdoc.fr/item/bwmeta1.element.doi-10_1515_bile-2016-0012}
}
Alicja Szabelska-Beręsewicz; Agnieszka Bilska; Katarzyna Waszkowiak; Idzi Siatkowski. A note on the comparison of mixed-effects models for longitudinal studies. Biometrical Letters, Tome 53 (2016) pp. 165-173. http://gdmltest.u-ga.fr/item/bwmeta1.element.doi-10_1515_bile-2016-0012/