Biometrical Letters

ISSN:1896-3811

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Volume (53) Number 2 pp. 165-173

Alicja Szabelska-Beręsewicz 1, Agnieszka Bilska 2, Katarzyna Waszkowiak 2, Idzi Siatkowski 1

1Department of Mathematical and Statistical Methods, Poznan University of Life Sciences, Wojska Polskiego 28, 60-637Poznań, Poland
2Institute of Meat Technology, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624Poznań, Poland

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

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.

Keywords: fixed and mixed models, marginal Akaike Information Criterion, conditional Akaike Information Criterion, corrected conditional Akaike Information Criterion

DOI: 10.1515/bile-2016-0012

For citation:

MLA Szabelska-Beręsewicz, Alicja, et al. "A note on the comparison of mixed-effects models for longitudinal studies." Biometrical Letters 53.2 (2016): 165-173. DOI: 10.1515/bile-2016-0012
APA Szabelska-Beręsewicz, A., Bilska, A., Waszkowiak, K., & Siatkowski, I. (2016). A note on the comparison of mixed-effects models for longitudinal studies. Biometrical Letters 53(2), 165-173 DOI: 10.1515/bile-2016-0012
ISO 690 SZABELSKA-BERęSEWICZ, Alicja, et al. A note on the comparison of mixed-effects models for longitudinal studies. Biometrical Letters, 2016, 53.2: 165-173. DOI: 10.1515/bile-2016-0012