ABSTRACT
In Chapter 10, it was noted that a number of issues in modeling categorical data could be handled in a similar manner as for continuous data. These similarities included modeling trends over time and accounting for within-subject correlations. In addition, the principles regarding analysis of incomplete data previously discussed for continuous outcomes also apply to categorical outcomes. For example, the missing data mechanisms (Chapter 12) apply to categorical data in essentially the same manner as for continuous data.
