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st: RE: Multiple imputation evaluation

From   "Nick Cox" <[email protected]>
To   <[email protected]>
Subject   st: RE: Multiple imputation evaluation
Date   Mon, 3 Jan 2005 17:27:06 -0000

One broad answer is to 

* get (or simulate) data like those you work with 

* simulate realistic fractions of missing data 
using mechanisms you think are realistic 

* see how good -mvis- is at reproducing what 
you have missed. 

Deciding "how good" depends on criteria which 
you can establish for yourself, or copy from 
those popular in your field. 

[email protected] 

Jose Valderrama
> Due to problems with missing-data in a database of cross 
> sectional I am
> using the command mvis. My question is if pre-established steps exist
> using the commands contained in ST0042. My question concretely is that
> or which commands to use to evaluate the quality of the imputation.

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