Thank you, Steve and Paige. Currently, I am working on a project that involves missing data analysis of sample data. I wanted to know if there is a way to measure bias for regression models for different "Missing Data" Deletion or Imputation methods -- I mean, in Listwise or Pairwise or Mean Substitution methods, I know the estimates are highly biased compared to those in Multiple Imputation or Expectation Maximization, but is it possible to calculate bias in the regression parameter estimates. It seems since there is no "correct estimate" for non-missing sample data, the "amount of bias" cannot be calculated. Please let me know if you have any other thoughts. Thanks, K
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