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Stat Med. 2019 Apr 30;38(9):1543-1557. doi: 10.1002/sim.8055. Epub 2018 Nov 28.

A multivariate discrete failure time model for the analysis of infant motor development.

Author information

1
Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.
2
Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Abstract

We develop a multivariate discrete failure time model for the analysis of infant motor development. We use the model to jointly evaluate the time (in months) to achievement of three well-established motor milestones: sitting up, crawling, and walking. The model includes a subject-specific latent factor that reflects underlying heterogeneity in the population and accounts for within-subject dependence across the milestones. The factor loadings and covariate effects are allowed to vary flexibly across milestones, and the milestones are permitted to have unique at-risk intervals corresponding to different developmental windows. We adopt a Bayesian inferential approach and develop a convenient data-augmented Gibbs sampler for posterior computation. We conduct simulation studies to illustrate key features of the model and use the model to analyze data from the Nurture study, a birth cohort examining infant health and development during the first year of life.

KEYWORDS:

discrete failure time model; grouped survival data; healthy eating index; latent factor model; maternal diet; motor milestones

PMID:
30484904
PMCID:
PMC6445681
[Available on 2019-10-30]
DOI:
10.1002/sim.8055

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