We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A multivariate discrete failure time model for the analysis of infant motor development.
- Authors
Neelon, Brian; Shoaibi, Azza; Benjamin‐Neelon, Sara E.; Benjamin-Neelon, Sara E
- 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.
- Publication
Statistics in Medicine, 2019, Vol 38, Issue 9, p1543
- ISSN
0277-6715
- Publication type
journal article
- DOI
10.1002/sim.8055