NOSTATA course in handling missing data
Every year Metrika organizes a Stata Summer School in Stockholm, this year they also organized a Winter School in February. The Winter school lasted one week, I participated in a two day course in how to handle missing data. The instructor was Paul Allison, a Professor of Sociology at the University of Pennsylvania.
During the two days topics were conventional methods for handling missing data and novel methods like maximum likelihood and multiple imputation, with focus on the last two. He also covered post estimation and models for nonignorable missing data.
Lectures lasted from 9 am to 4 pm, in addition from 4 to 5 pm it was optional exercises. There were a lot of time to ask questions and the Allison also showed a lot of interest when you asked about statistical challenges in your own project. I learned a lot during those two days. I have attended the summer school earlier and recommend it for others.
Page administrator: Lene Aasdahl
created: 06.02.2017 10:41
created: 06.02.2017 10:41