Simple Missing Data Methods

Abstract

As suggested in Section 15.2, missing data nearly always entail problems for the practicing statistician. First, inference will often be invalidated when the observed measurements do not constitute a simple random subset of the complete set of measurements. Second, even when correct inference follows, it is not always an easy task to trick standard software into operation on a ragged data structure.