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Bayesian latent variable models for clustered mixed outcomes

Publication ,  Journal Article
Dunson, DB
Published in: Journal of the Royal Statistical Society. Series B: Statistical Methodology
January 1, 2000

A general framework is proposed for modelling clustered mixed outcomes. A mixture of generalized linear models is used to describe the joint distribution of a set of underlying variables, and an arbitrary function relates the underlying variables to the observed outcomes. The model accommodates multilevel data structures, general covariate effects and distinct link functions and error distributions for each underlying variable. Within the framework proposed, novel models are developed for clustered multiple binary, unordered categorical and joint discrete and continuous outcomes. A Markov chain Monte Carlo sampling algorithm is described for estimating the posterior distributions of the parameters and latent variables. Because of the flexibility of the modelling framework and estimation procedure, extensions to ordered categorical outcomes and more complex data structures are straightforward. The methods are illustrated by using data from a reproductive toxicity study.

Duke Scholars

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Published In

Journal of the Royal Statistical Society. Series B: Statistical Methodology

DOI

ISSN

1369-7412

Publication Date

January 1, 2000

Volume

62

Issue

2

Start / End Page

355 / 366

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 0104 Statistics
  • 0102 Applied Mathematics
 

Citation

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Dunson, D. B. (2000). Bayesian latent variable models for clustered mixed outcomes. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 62(2), 355–366. https://doi.org/10.1111/1467-9868.00236
Dunson, D. B. “Bayesian latent variable models for clustered mixed outcomes.” Journal of the Royal Statistical Society. Series B: Statistical Methodology 62, no. 2 (January 1, 2000): 355–66. https://doi.org/10.1111/1467-9868.00236.
Dunson DB. Bayesian latent variable models for clustered mixed outcomes. Journal of the Royal Statistical Society Series B: Statistical Methodology. 2000 Jan 1;62(2):355–66.
Dunson, D. B. “Bayesian latent variable models for clustered mixed outcomes.” Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 62, no. 2, Jan. 2000, pp. 355–66. Scopus, doi:10.1111/1467-9868.00236.
Dunson DB. Bayesian latent variable models for clustered mixed outcomes. Journal of the Royal Statistical Society Series B: Statistical Methodology. 2000 Jan 1;62(2):355–366.
Journal cover image

Published In

Journal of the Royal Statistical Society. Series B: Statistical Methodology

DOI

ISSN

1369-7412

Publication Date

January 1, 2000

Volume

62

Issue

2

Start / End Page

355 / 366

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 0104 Statistics
  • 0102 Applied Mathematics