Latent class based multiple imputation approach for missing categorical data

Mulugeta Gebregziabher; Stacia M. DeSantis

doi:10.1016/j.jspi.2010.04.020

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Latent class based multiple imputation approach for missing categorical data

Mulugeta Gebregziabher Stacia M. DeSantis

Year: 2010 Journal: Journal of Statistical Planning and Inference Vol: 140 (11)Pages: 3252-3262 Publisher: Elsevier BV

DOI: 10.1016/j.jspi.2010.04.020

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Keywords:

Missing data Imputation (statistics) Categorical variable Covariate Mathematics Statistics Expectation–maximization algorithm Latent class model Maximum likelihood

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Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Latent class based multiple imputation approach for missing categorical data

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