Bayesian analysis of latent variable models with non-ignorable missing outcomes from exponential family.

Abstract

To provide a comprehensive framework for analysing complex non-normal medical and biological data, we propose a Bayesian approach for a non-linear latent variable model with covariates, and non-ignorable missing data, under the exponential family of distributions. The non-ignorable missing mechanism is defined via a logistic regression model. Based on… (More)

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Cite this paper

@article{Song2007BayesianAO, title={Bayesian analysis of latent variable models with non-ignorable missing outcomes from exponential family.}, author={Xin-Yuan Song and Sik-Yum Lee}, journal={Statistics in medicine}, year={2007}, volume={26 3}, pages={681-93} }