ABSTRACT
Missing data framework and, especially, the multiple imputation method can
be applied to other situations. This chapter discusses five applications: mea-
surement error, combining information from multiple data sources, Bayesian
inference for finite population, causal inference and statistical disclosure con-
trol. Each situation can be handled using standard multiple imputation soft-
ware. The same combining rules described so far can be applied in some
applications but for others, new combining rules have to be used.