IMPUTATION METHODS
- Multivariate normal
- Chained equations
- Linear regression
- Predictive mean matching
- Truncated regression
- Interval regression
- Logistic
- Ordered logit
- Multinomial (polytomous) logit
- Poisson
- Negative binomial
- User-defined
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
POSTESTIMATION SELECTOR
- View and run all postestimation features for your command
- Automatically updated as estimation commands are run
Video Tutorial – Postestimation Selector
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UTILITIES
- Change style of multiple-imputation datasets
- Extract datasets
- Verify and repair consistency of data
LEARN MORE
- Introduction to mi
- Introduction to multiple-imputation analysis
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
Video Tutorials – Handling missing data in Stata