Joint modeling of bottle use, daily milk intake from bottles, and daily energy intake in toddlers
Yungtai Lo
Journal of Applied Statistics, 2017, vol. 44, issue 13, 2301-2316
Abstract:
The current study follows an educational intervention on bottle-weaning to simultaneously evaluate effects of the bottle-weaning intervention on reducing bottle use, daily milk intake from bottles, and daily energy intake in toddlers aged 11–13 months. In this paper, we propose to use shared parameter models and random effects models to model these outcomes jointly. Our joint models consist of two submodels: a two-part submodel for modeling the odds of bottle use and the intensity of daily milk intake from bottles, and a linear mixed submodel for modeling the intensity of daily energy intake. The two submodels are linked by either shared random effects or separate but correlated random effects. We investigate whether the intervention effects, parameter estimates, and model fit differ between shared parameter models and random effects models.
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/02664763.2016.1251885 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:44:y:2017:i:13:p:2301-2316
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20
DOI: 10.1080/02664763.2016.1251885
Access Statistics for this article
Journal of Applied Statistics is currently edited by Robert Aykroyd
More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().