Multiple Imputation in R Using Amelia

Instructor
Boriana Pratt is a Statistical Programmer at the Office of Population Research at Princeton University.  She earned a Masters degree in Biostatistics from the University of California at Berkeley.
Time/Place
1/10/2018 from 9:30 AM to 12:00 PM ~ Wallace 300
Description

Working with real data almost always means dealing with missing data, but having some measures missing from an observation doesn’t mean that observation should be excluded from the analysis. This workshop will cover the use of the R package Amelia to impute missing data and obtain more robust estimates. 

To register for this workshop, please send an email to oprws@princeton.edu and use "amelia" as the Subject.

Format

Presentation with examples.

Requirements

Some experience working with R is recommended, but is not required.

Downloads
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