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Joint modeling of bottle use, daily milk intake from bottles, and daily energy intake in toddlers

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  • Yungtai Lo

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.

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  • Yungtai Lo, 2017. "Joint modeling of bottle use, daily milk intake from bottles, and daily energy intake in toddlers," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(13), pages 2301-2316, October.
    • Handle: RePEc:taf:japsta:v:44:y:2017:i:13:p:2301-2316
    DOI: 10.1080/02664763.2016.1251885
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    1. Steffen Fieuws & Geert Verbeke, 2006. "Pairwise Fitting of Mixed Models for the Joint Modeling of Multivariate Longitudinal Profiles," Biometrics, The International Biometric Society, vol. 62(2), pages 424-431, June.
    2. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    3. Molenberghs, Geert & Verbeke, Geert, 2007. "Likelihood Ratio, Score, and Wald Tests in a Constrained Parameter Space," The American Statistician, American Statistical Association, vol. 61, pages 22-27, February.
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