50 Shades of NA: Making the Most of Your Missing Data
Missing data is a pervasive issue in empirical research across disciplines. Values can be missing for a variety of reasons, including nonresponse, loss to follow-up, combining data from different sources and skipped questions on surveys. The pattern and mechanisms behind missing data have important implications for statistical analysis and interpretation. This talk will provide an accessible introduction to missing data terminology and theory for those with a limited statistical background. I will explain techniques to account for missing data in common regression contexts, including confidence interval estimation, hypothesis testing and model selection.
The talk will be about 40 minutes long and following by discussion.
Date: Thursday 29 February 2024
Time: 2.30-3.30pm
Speaker: Eve Slavich, Statistical Consultant, UNSW Stats Central
Delivery Mode: Hybrid
Location: K-J17 Ainsworth Building, Room 102