Challenges in modelling the random structure correctly in growth mixture models and the impact this has on model mixtures

Gilthorpe, MS, Dahly, DL, Tu, Y-K et al. (2 more authors) (2014) Challenges in modelling the random structure correctly in growth mixture models and the impact this has on model mixtures. Journal of Developmental Origins of Health and Disease, 5 (3). 197 - 205. ISSN 2040-1744

Abstract

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Authors/Creators:
  • Gilthorpe, MS
  • Dahly, DL
  • Tu, Y-K
  • Kubzansky, LD
  • Goodman, E
Copyright, Publisher and Additional Information: (c) 2014, Gilthorpe, MS, Dahly, DL, Tu, Y-K, Kubzansky, LD and Goodman, E. This is an Open Access article distributed in accordance with the Creative Commons Attribution (CC BY 3.0) licence, which permits others to distribute, remix, adapt, build upon this work, and license their derivative works on different terms, provided the original work is properly cited.
Keywords: Autocorrelation; Growth; Mixtures; Random effects
Dates:
  • Published: 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Genetics, Health and Therapeutics (LIGHT) > Division of Epidemiology & Biostatistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 08 Oct 2014 09:06
Last Modified: 18 Jan 2018 11:01
Published Version: http://dx.doi.org/10.1017/S2040174414000130
Status: Published
Publisher: Cambridge University Press
Identification Number: https://doi.org/10.1017/S2040174414000130
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