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	<title>Comments on: missing values &#8211; your advice is needed</title>
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	<link>http://howto.commetrics.com/articles/missing-values/</link>
	<description>Benchmark smarter. Perform better.</description>
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		<title>By: Karen Grace-Martin</title>
		<link>http://howto.commetrics.com/articles/missing-values/comment-page-1/#comment-43</link>
		<dc:creator>Karen Grace-Martin</dc:creator>
		<pubDate>Sat, 29 Nov 2008 21:00:34 +0000</pubDate>
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		<description>Hi Urs--I am totally not a programmer, so can&#039;t help you there.  The books will help you with the equations to program, but I suspect someone on that Impute list will know about programming it.

You might want to look into R as well.  It&#039;s free statistical software, and I believe open source.  I&#039;m pretty sure it has multiple imputation.

Good luck--Karen</description>
		<content:encoded><![CDATA[<p>Hi Urs&#8211;I am totally not a programmer, so can&#8217;t help you there.  The books will help you with the equations to program, but I suspect someone on that Impute list will know about programming it.</p>
<p>You might want to look into R as well.  It&#8217;s free statistical software, and I believe open source.  I&#8217;m pretty sure it has multiple imputation.</p>
<p>Good luck&#8211;Karen</p>
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		<title>By: urs</title>
		<link>http://howto.commetrics.com/articles/missing-values/comment-page-1/#comment-44</link>
		<dc:creator>urs</dc:creator>
		<pubDate>Wed, 26 Nov 2008 19:57:23 +0000</pubDate>
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		<description>Dear Karen

The nice words I put down about your blog are well deserved, I meant and still mean it :-)

Thanks for the input, I am getting on the list as per your suggestion...

Equations is fine for me... but I am trying to find a way to get a program that can help us deal with this and do it right.

Maybe the mailing list will give me the info, or else looking at these books? If you know of a program that we can use (we program in php), let me know please, I really would love to know.

Thanks Urs</description>
		<content:encoded><![CDATA[<p>Dear Karen</p>
<p>The nice words I put down about your blog are well deserved, I meant and still mean it <img src='http://howto.commetrics.com/wp-includes/images/smilies/icon_smile.gif' alt=':-)' class='wp-smiley' /> </p>
<p>Thanks for the input, I am getting on the list as per your suggestion&#8230;</p>
<p>Equations is fine for me&#8230; but I am trying to find a way to get a program that can help us deal with this and do it right.</p>
<p>Maybe the mailing list will give me the info, or else looking at these books? If you know of a program that we can use (we program in php), let me know please, I really would love to know.</p>
<p>Thanks Urs</p>
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		<title>By: Karen Grace-Martin</title>
		<link>http://howto.commetrics.com/articles/missing-values/comment-page-1/#comment-45</link>
		<dc:creator>Karen Grace-Martin</dc:creator>
		<pubDate>Wed, 26 Nov 2008 15:41:20 +0000</pubDate>
		<guid isPermaLink="false">http://howto.commetrics.com/?p=56#comment-45</guid>
		<description>Thanks for the kind words.  Refreshing-wow!

Here&#039;s my advice:

Get on the Impute mailing list:  http://lists.utsouthwestern.edu/mailman/listinfo/impute.  All the theoretical statisticians who work with multiple imputation (the guys who derive the equations) seem to be there.

A couple good books on missing data you might want to start with are Allison and Little &amp; Rubin.  Allison&#039;s is not equation heavy, but I do know there is an equation in there about how to combine the standard errors for multiple imputation.  Little and Rubin is very equation heavy, so probably has much of what you need.  Full citations are at my site under Resources: Books.</description>
		<content:encoded><![CDATA[<p>Thanks for the kind words.  Refreshing-wow!</p>
<p>Here&#8217;s my advice:</p>
<p>Get on the Impute mailing list:  <a href="http://lists.utsouthwestern.edu/mailman/listinfo/impute">http://lists.utsouthwestern.edu/mailman/listinfo/impute</a>.  All the theoretical statisticians who work with multiple imputation (the guys who derive the equations) seem to be there.</p>
<p>A couple good books on missing data you might want to start with are Allison and Little &amp; Rubin.  Allison&#8217;s is not equation heavy, but I do know there is an equation in there about how to combine the standard errors for multiple imputation.  Little and Rubin is very equation heavy, so probably has much of what you need.  Full citations are at my site under Resources: Books.</p>
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