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Bayesian variable selection for latent class models.

Publication ,  Journal Article
Ghosh, J; Herring, AH; Siega-Riz, AM
Published in: Biometrics
September 2011

In this article, we develop a latent class model with class probabilities that depend on subject-specific covariates. One of our major goals is to identify important predictors of latent classes. We consider methodology that allows estimation of latent classes while allowing for variable selection uncertainty. We propose a Bayesian variable selection approach and implement a stochastic search Gibbs sampler for posterior computation to obtain model-averaged estimates of quantities of interest such as marginal inclusion probabilities of predictors. Our methods are illustrated through simulation studies and application to data on weight gain during pregnancy, where it is of interest to identify important predictors of latent weight gain classes.

Duke Scholars

Published In

Biometrics

DOI

EISSN

1541-0420

ISSN

0006-341X

Publication Date

September 2011

Volume

67

Issue

3

Start / End Page

917 / 925

Related Subject Headings

  • Weight Gain
  • Stochastic Processes
  • Statistics & Probability
  • Probability
  • Pregnancy
  • Methods
  • Humans
  • Female
  • Biometry
  • Bayes Theorem
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ghosh, J., Herring, A. H., & Siega-Riz, A. M. (2011). Bayesian variable selection for latent class models. Biometrics, 67(3), 917–925. https://doi.org/10.1111/j.1541-0420.2010.01502.x
Ghosh, Joyee, Amy H. Herring, and Anna Maria Siega-Riz. “Bayesian variable selection for latent class models.Biometrics 67, no. 3 (September 2011): 917–25. https://doi.org/10.1111/j.1541-0420.2010.01502.x.
Ghosh J, Herring AH, Siega-Riz AM. Bayesian variable selection for latent class models. Biometrics. 2011 Sep;67(3):917–25.
Ghosh, Joyee, et al. “Bayesian variable selection for latent class models.Biometrics, vol. 67, no. 3, Sept. 2011, pp. 917–25. Epmc, doi:10.1111/j.1541-0420.2010.01502.x.
Ghosh J, Herring AH, Siega-Riz AM. Bayesian variable selection for latent class models. Biometrics. 2011 Sep;67(3):917–925.
Journal cover image

Published In

Biometrics

DOI

EISSN

1541-0420

ISSN

0006-341X

Publication Date

September 2011

Volume

67

Issue

3

Start / End Page

917 / 925

Related Subject Headings

  • Weight Gain
  • Stochastic Processes
  • Statistics & Probability
  • Probability
  • Pregnancy
  • Methods
  • Humans
  • Female
  • Biometry
  • Bayes Theorem