A note on the relationships between multiple imputation, maximum likelihood and fully Bayesian methods for missing responses in linear regression models
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Multiple Imputation, Maximum Likelihood and Fully Bayesian methods are the three most commonly used model-based approaches in missing data problems. Although it is easy to show that when the responses are missing at random (MAR), the complete case analysis is ... ...
