Account for missing data in your sample using multiple imputation. Choose from
univariate and multivariate methods to impute missing values in continuous,
censored, truncated, binary, ordinal, categorical, and count variables. Then,
in a single step, estimate parameters using the imputed datasets, and combine
results. Fit a linear model, logit model, Poisson model, multilevel model,
survival model, or one of the many other supported models. Use the mi command,
or let the Control Panel interface guide you through your entire MI analysis.
- 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
Watch handling missing data in Stata tutorials
New in Stata 16
for more about what was added in Stata 16.