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
  

• Automatically pool results from each dataset 
• Joint tests of coefficients
  
• Linearly and nonlinearly transform 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