Case Study in Imputation and Data Reduction

Abstract

The following case study illustrates these techniques:

• 1. missing data imputation using mean substitution, recursive partitioning, and customized regressions;

• 2. variable clustering;

• 3. data reduction using principal components analysis and pretransformations;

• 4. restricted cubic spline fitting using ordinary least squares, in the context of scaling; and

• 5. scaling/variable transformations using canonical variates and nonparametric additive regression.