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	<title>Comments on: Tips for ELISA Data Analysis</title>
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		<title>By: aliu</title>
		<link>http://www.miraibio.com/blog/2009/06/tips-for-data-analysis/comment-page-1/#comment-8617</link>
		<dc:creator>aliu</dc:creator>
		<pubDate>Thu, 10 Jun 2010 21:44:54 +0000</pubDate>
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		<description>Thanks for the great insight Ted.  I guess we are now at &quot;Top 12 Tips&quot; =)</description>
		<content:encoded><![CDATA[<p>Thanks for the great insight Ted.  I guess we are now at &#8220;Top 12 Tips&#8221; =)</p>
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		<title>By: Ted Mifflin</title>
		<link>http://www.miraibio.com/blog/2009/06/tips-for-data-analysis/comment-page-1/#comment-8615</link>
		<dc:creator>Ted Mifflin</dc:creator>
		<pubDate>Thu, 10 Jun 2010 20:56:29 +0000</pubDate>
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		<description>Allen&#039;s &quot;Top Ten&quot; certainly make sense for us when we have been running ELISAs on 4000 samples for an epidemiological study. We have gained some added insights that I offer for consideration: 1)  calculate the %CV for each pair of unknown sample replicates (we run duplicates), then plot %CV vs concentration of the unknowns to see if variance is as you expect, 2)  periodically run the same set (n=20-30)  of &#039;normal&#039; samples through your ELISA method (if doing a large study) to estimate presence of long term drift (calculate medians and distributions), and 3) graphically review the concentrations of controls over long term using a Levey-Jennings or Shuwart plots to look for shifts or drifts in results.</description>
		<content:encoded><![CDATA[<p>Allen&#8217;s &#8220;Top Ten&#8221; certainly make sense for us when we have been running ELISAs on 4000 samples for an epidemiological study. We have gained some added insights that I offer for consideration: 1)  calculate the %CV for each pair of unknown sample replicates (we run duplicates), then plot %CV vs concentration of the unknowns to see if variance is as you expect, 2)  periodically run the same set (n=20-30)  of &#8216;normal&#8217; samples through your ELISA method (if doing a large study) to estimate presence of long term drift (calculate medians and distributions), and 3) graphically review the concentrations of controls over long term using a Levey-Jennings or Shuwart plots to look for shifts or drifts in results.</p>
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