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.
Original language | English (US) |
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Pages (from-to) | 2301-2316 |
Number of pages | 16 |
Journal | Journal of Applied Statistics |
Volume | 44 |
Issue number | 13 |
DOIs | |
State | Published - Oct 3 2017 |
Keywords
- Gamma distribution
- joint model
- random effects model
- semi-continuous variable
- shared parameter model
- two-part model
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty