Quantitative Comparisons: Asymptotic Results

Abstract

So far the evaluation of the methods has been performed on a qualitative level: We have three consistent methods (ML Estimation, PML Estimation and Filling) and four asymptotically biased methods (Conditional and Unconditional Probability Imputation, Additional Category and Omission of Covariate). The bias of Complete Case Analysis is of another quality, because it depends only on the structure of the missing rates. With the exception of MDXY mechanisms, Complete Case Analysis yields consistent estimates for the regression parameters β₁j and β_2k, and hence it can be compared to the three consistent methods mentioned above.