Odum Institute: Issues Surrounding Missing Data

This one day course will be offered IN-PERSON in Davis Library Room 219. No virtual option will be offered.

Course Summary:
In this course we will discuss methods commonly used to deal with missing data. Assumptions, assets, and disadvantages associated with each method will be covered. Included topics will be:
• Case-wise deletion
• Listwise deletion
• Mean imputation
• Hot deck
• Single value maximum likelihood
• Multiple value maximum likelihood
• Regression
• Fully conditional specification
• Data with complex sampling designs

Instructor: Chris Wiesen
Dr. Wiesen is a Senior Statistical Research Consultant at the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill (UNC). He offers consulting services to graduate students and faculty in the UNC system. He also teaches short courses on various software packages including SAS and Stata and topics on quantitative analysis and Introduction to Survey Computing. Before the Odum Institute, he worked for a year at the National Institute of Statistical Sciences, for two years visiting Duke University, and three years at the Research Triangle Institute (now Research Triangle International).

He is an expert in methods widely used in social and health sciences. Dr. Wiesen has extensive experience in statistical methods widely used in a variety of social science, public health, and medical research areas. His project experience has focused on selecting, developing, and implementing optimal analysis methods for academic and non-academic research among a variety of fields as diverse as psychology, sociology, medicine, public health, linguistics, education, and geography.

Registration Fees
- UNC-CH Students: $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
- UNC-CH Faculty/Staff/Postdoc: $40
- Non UNC-CH: $40