ABSTRACT

This chapter is the first with applications to real data. A common theme is that all have “problems with the columns.” Section 7.1 illustrates a number of useful steps to take when confronted with a dataset that has an overwhelming number of variables. Section 7.2 continues with the same data, and shows how a simple sensitivity analysis can be done. Section 7.3 illustrates how multiple imputation can be used to estimate overweight prevalence from self-reported data. Section 7.4 shows a way to do a sensible analysis on data that are incomparable.