Re: st: how to handle missing observations in a regression model

[Richard Williams <Richard.A.Williams.5@ND.edu>]

At 05:56 AM 9/5/2006, Joseph Coveney wrote:
> You can explore the behavior of this approach using -simulate- with a
> data-generating process that mimics what you expect prevails in your study.
> (This includes the mechanism of missingness.)  A rudimentary example of this
> is shown below.  It has 5% randomly missing in both predictors.  The results
> indicate that for this approach, compared to just listwise deletion, there
One of the interesting points in Allison's Missing Data book is that, 
of all the more or less traditional approaches to handling missing 
data, listwise deletion tends to work as well or better as 
anything.  You have to go to the more recent and advanced techniques 
if you want to do better.


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Richard Williams, Notre Dame Dept of Sociology
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