JSM 2011 Online Program

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CE_28T	Wed, 8/3/2011, 10:00 AM - 11:45 AM	HQ-Poinciana Salon 2
Multiple Imputation Analysis in Stata — Continuing Education CTW
ASA , Stata
Instructor(s): Yulia V. Marchenko, Stata Corp LP
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 analysis, and pooling) will be discussed with accompanying Stata examples. A number of examples demonstrating how to efficiently 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.

2011 JSM Online Program Home

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