Missing Data

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Date(s) - 04/06/2018 - 04/07/2018
9:00 am - 5:00 pm

Temple University Center City


Statistical Horizons will be hosting a seminar Taught by Dr. Paul Allison on April 6-7 in Philadelphia, Pennsylvania on Missing Data.

This course will cover the theory and practice of both maximum likelihood and multiple imputation. Maximum likelihood for linear models will be demonstrated with SAS, Stata, and Mplus. Mplus will also be used for maximum likelihood with logistic regression. Multiple imputation will be demonstrated with both SAS and Stata.

New methods for handling missing data have been around for at least a decade, but have only become practical in the last few years with the introduction of widely available and user friendly software. Maximum likelihood and multiple imputation have very similar statistical properties. If the assumptions are met, they are approximately unbiased and efficient–that is, they have minimum sampling variance.

Anyone who does statistical analysis can benefit from new methods for handling missing data. To take this course, you should have a good working knowledge of the principles and practice of multiple regression, as well as elementary statistical inference. But you do not need to know matrix algebra, calculus, or likelihood theory.

The fee of $995 includes all course materials. The early registration fee of $895 is available until March 6. To register click HERE.

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