An Ad Hoc Analysis Strategy With Missing Data

Abstract

A subset of a real data set was used to illustrate an ad hoc analysis with missing data on multiple response variables. This strategy was initiated with a complete-case analysis to determine some variable(s) that may be deleted with no loss in effects of interest. By such a deletion, the number of complete observation vectors may very well increase. Two straightforward imputed means analyses are also illustrated. All illustrations are given in the context of predictive discriminant analysis.