Spring 2010 Thursday, January 28   Speaker: Joyee Gosh, Ph. D. Postdoctoral Research Fellow Department of Biostatistics University of North Carolina at Chapel Hill Title: "Bayesian Variable Selection for Latent Class Model" Abstract: In this talk, I will describe a latent class model with class probabilities that depend on subject-specific covariates. As 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.

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