Math @ Duke
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Publications [#257919] of David B. Dunson
search arxiv.org.Papers Published
- Dunson, DB, Dynamic Latent Trait Models for Multidimensional Longitudinal Data,
Journal of the American Statistical Association, vol. 98 no. 463
(September, 2003),
pp. 555-563, Informa UK Limited [doi]
(last updated on 2025/04/11)
Abstract: This article presents a new approach for analysis of multidimensional longitudinal data, motivated by studies using an item response battery to measure traits of an individual repeatedly over time. A general modeling framework is proposed that allows mixtures of count, categorical, and continuous response variables. Each response is related to age-specific latent traits through a generalized linear model that accommodates item-specific measurement errors. A transition model allows the latent traits at a given age to depend on observed predictors and on previous latent traits for that individual. Following a Bayesian approach to inference, a Markov chain Monte Carlo algorithm is proposed for posterior computation. The methods are applied to data from a neurotoxicity study of the pesticide methoxychlor, and evidence of a dose-dependent increase in motor activity is presented.
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