I’m passing on the following announcement about an upcoming Missing Data short course by Paul Allison, who is a brilliant author and speaker on statistical methodology. I’ve read many of his books, although I’ve never attended one of his workshops. I’ve talked with people who have, however, and I’ve heard he’s fabulous. So if you’re going to be near D.C. in December, it’s worth a look:
Dr. Paul Allison will offer his two-day course, Missing Data, on December 5-6 in Washington, DC.
The course provides an in-depth look at modern methods for handling missing data, with emphasis on maximum likelihood and multiple imputation. These methods have been demonstrated to be markedly superior to conventional methods like listwise deletion or single imputation, while at the same time resting on less stringent assumptions.
Dr. Allison is Professor of Sociology at the University of Pennsylvania. He is the author of five books on using statistics, including Missing Data. He is a former Guggenheim Fellow and a recipient of the Lazarsfeld Award for Distinguished Contributions to Sociological Methodology.
You can get more detailed information about the course at www.StatisticalHorizons.com
