Sensitivity Analysis with Multiple Imputation

This chapter describes a range of practical approaches for sensitivity analysis via multiple imputation. Following a general introduction, Section 19.2 briefly reviews the theory underlying the analysis of data when missing values are NMAR, in particular focusing on the contrast between the pattern-mixture and selection model approaches. This has been dealt with in some detail in earlier chapters,…