Imputation methods

• Multivariate normal
• Chained equations
• Linear regression
• Predictive mean matching
• Truncated regression
• Interval regression
• Logistic
• Ordered logit
• Multinomial (polytomous) logit
• Poisson
• Negative binomial

Data management

• Tabulate missing values
• Create summary variables of missing-value patterns
• Identify varying and super-varying variables
• Execute commands across imputations
• Export and import foreign data
• Create functions of imputed variables

Estimation and inference

• Automatically pool results from each dataset
• Joint tests of coefficients
• Linearly and nonlinearly transformed coefficients
• Linear and nonlinear MI predictions

Control Panel

• Guides you along from start to finish
• Set up data and impute missing values or import data
• Perform data management
• Perform estimation and inference
• Command log produced to ensure reproducibility

Utilities

• Change style of multiple-imputation datasets
• Extract datasets
• Verify and repair consistency of data

Explore more about multiple imputation in Stata.