Abstract
In this paper we consider the analysis of incomplete tables using correspondence analysis. We focus on a dataset concerning congenital heart disease (Fraser and Hunter, 1975), in which the data forms a square table, but only a symmetrized version of the off- diagonal entries was reported. We use Markov chain Monte Carlo (MCMC) on a hierarchical Bayes model to estimate the underlying rates, and use correspondence analysis to study the relationships in the completed table.
Citation
Duncan J. Murdoch. Jules J. S. de Tibeiro. "Correspondence analysis with incomplete paired data using Bayesian imputation." Bayesian Anal. 5 (3) 519 - 532, September 2010. https://doi.org/10.1214/10-BA520
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