Bayesian Latent Class Models for Multiple Imputation of Multivariate Categorical Data Under Ignorable Missingness Mechanism
Missing data are a pervasive challenge in the analysis of multivariate categorical data and can lead to biased estimation and reduced statistical efficiency when handled inappropriately. Bayesian latent class multiple imputation provides a flexible framework for addressing this problem by exploiting the underlying late...