ABSTRACT
In this chapter, we re-analyze several examples from Chapter 4 using all available data, under an ignorability assumption for the missing data. We also analyze two additional examples. The first uses the CTQ II smoking cessation data (Section 1.4) to illustrate joint modeling and implementation of the auxiliary variable MAR assumption. The second uses the CD4 data from HERS (Section 1.5) to illustrate modeling irregularly spaced longitudinal data with missingness. In all these analyses we focus on the importance of correctly modeling/specifying the dependence under MAR.
