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多重代入法

      
Imputation methods

      
* Linear regression 

      * Predictive mean matching 

      * Logistic 

      * Ordered logit 

      * Multinomial (polytomous) logit 

      * Multivariate normal

      


      
Data management

      
* Tabulate missing values 

      * 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 transform coefficients 

      
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 

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