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

• Autorzy: Alicja Szabelska-Beręsewicz , Agnieszka Bilska , Katarzyna Waszkowiak , Idzi Siatkowski
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

fixed and mixed models; marginal Akaike Information Criterion; conditional Akaike Information Criterion; corrected conditional Akaike Information Criterion

• Wydawca: De Gruyter Open
• Czasopismo: Biometrical Letters
• Rocznik: 2016
• Tom: 53
• Numer: 2
• Strony: 165-173

Daty

wydano

2016-12-01

online

2016-12-10

Twórcy

autor

Alicja Szabelska-Beręsewicz

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

autor

Agnieszka Bilska

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

autor

Katarzyna Waszkowiak

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

autor

Idzi Siatkowski

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

Identyfikatory

DOI

10.1515/bile-2016-0012