Multiple Imputation (MI) is a technique for handling missing data. MI is becoming an increasingly popular method for sensitivity analyses in order to assess the impact of missing data.
Just after the holidays, we took a survey with 100 of our SAS programmers. Our goal was to get a better understanding of how programmers think. We asked 8 questions ranging from “What’s your favorite activity during the holidays” to “What are you looking forward to in 2017.” We found some curious results.