Multiple Imputation: Methods and Applications (ONLINE)

This class will be offered via ZOOM only and will now be held over 2 days.

Multiple imputation offers a general purpose framework for handling missing data, protecting confidential public use data, and adjusting for measurement errors. These issues are frequently encountered by organizations that disseminate data to others, as well as by individual researchers. Participants in this workshop will learn how multiple imputation can solve problems in these areas, and they will gain a conceptual and practical basis for applying multiple imputation in their statistical work. Topics include the pros and cons of various solutions for handling missing data; the motivation for and general idea behind multiple imputation; methods for implementing multiple imputation including multivariate modeling, conditional modeling, and machine learning based approaches; methods for checking the adequacy of imputations via graphical display and posterior predictive checks; and applications of multiple imputation for scenarios other than missing data. The course will have an online format spread over two half days. The first half day will cover general methodologies, and the second half day will cover applications.
 

Instructor: Jerry Reiter

Instructor Bio:
Jerry Reiter is Professor of Statistical Science at Duke University. He also serves as Chair of the Department of Statistical Science at Duke. He received a PhD in statistics from Harvard University in 1999, and a BS in mathematics from Duke University in 1992. His main research areas include methods for handling missing data, for protecting confidentiality in public use data, and for integrating information from multiple sources. He is a Fellow of the American Statistical Association, and recipient of the Gertrude M. Cox Award and the Youden Award.

This course will count as 7.0 CSS Short Course credit hours.

Register Here

This class will be offered via Zoom ONLY. Registration closes at 12:01am on 11/08/2020. Once registration closes, no late registrations will be accepted. NO EXCEPTIONS!

Registration Fees:
– CSS Students – $40
– UNC-CH Students – $65
– UNC-CH Faculty/Staff/Postdoc/Others – $90

* Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.

* Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.