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CE_40T Wed, 8/6/2014, 3:00 PM - 4:45 PM W-Faneuil
Multiple Imputation Using Stata — Professional Development Computer Technology Workshop
ASA , Stata
This workshop covers the use of Stata to perform multiple-imputation analysis. Multiple imputation (MI) is a simulation-based technique for handling missing data. The course will provide a brief introduction to multiple imputation and will demonstrate how to perform multiple imputation in Stata. The three stages of MI (imputation, completed-data analy-sis, and pooling) will be discussed with accompanying Stata examples. Imputation using multivariate normal (MVN) and using chained equations (MICE, FCS) will be discussed. A number of examples demonstrating how to eciently manage multiply imputed data within Stata will also be provided. Linear and logistic regression analysis of multiply imputed data as well as several postestimation features will be presented. No prior knowledge of Stata is required, but basic familiarity with multiple imputation will prove useful.
Instructor(s): Yulia Marchenko, StataCorp



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