Events Calendar

Introduction to Multiple Imputation

Wednesday, July 10, 2019
1:00 pm - 4:00 pm
Kresge Building (KB)
Room: John J. Koval Graduate Computing Lab, K7

Introduction to Multiple Imputation for the Analysis of Survey Data Using SAS, Stata, or R

This workshop is designed to provide a conceptual understanding and hands-on practice in analyzing complex survey data with missing data. It consists of three parts: 1) introduction to proper design-based analysis of survey sampling data, accounting for sampling weights, clustering, and stratification; 2) introduction to multiple imputation in handling missing data, issues considered include missing data mechanism, building of imputation models, and methods of imputation; and 3) Analysis of complex survey sampling data by application of methods for design-based analysis and multiple imputation. A ‘hand-sized’ dataset will be used to gain insights of the methods, while a large dataset will be used to illustrate proper analysis of complex survey data with SAS, Stata, or R.

Prior knowledge of designed-based analysis of complex survey data and multiple imputation is not required. However, participants with prior knowledge of linear regression analysis and experience with either SAS, or Stata, or R will benefit the most from this workshop.

Presenters: Dr. Guangyong (GY) Zou, Professor, Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry

Natalie Nightingale

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