What software is best for multiple imputation?

What software is best for multiple imputation?

There are several great options for multiple imputation, including R packages like 'mice' and 'missForest', as well as software like SPSS and Stata. It depends on your specific needs and familiarity with the tools.

Can you explain how the 'mice' package works?

Sure! The 'mice' package in R stands for Multivariate Imputation by Chained Equations. It creates multiple imputations for missing data by modeling each variable with missing values conditional on the other variables.

What are the advantages of using multiple imputation?

Multiple imputation helps to reduce bias and increase the accuracy of statistical analyses by providing a way to handle missing data without discarding incomplete cases.

Are there any limitations to multiple imputation?

Yes, some limitations include the assumption that data is missing at random (MAR) and the potential for increased variability in estimates if the number of imputations is too low.