Causal analysis of observational studies requires data that comprise a set of covariates, a treatment assignment indicator and the observed outcomes. However, data confidentiality restrictions or the ...

Multiple imputation (MI) is a method for repairing and analyzing data with missing values. MI replaces missing values with a sample of random values drawn from an imputation model. The most popular ...

This paper considers the problem of record linkage between a household-level survey and an establishment-level frame in the absence of unique identifiers. Linkage between frames in this setting is ...