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	<title>comparison of methods &#8211; mikrobik.net</title>
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		<title>The comparison of methods experiment</title>
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		<dc:creator><![CDATA[mikrobik]]></dc:creator>
		<pubDate>Mon, 02 Mar 2009 10:07:00 +0000</pubDate>
				<category><![CDATA[Biyokimya Derlemeleri]]></category>
		<category><![CDATA[comparison of methods]]></category>
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					<description><![CDATA[THE COMPARISON OF METHODS EXPERIMENT James O. Westgard Fulltext Recommended minimum studies Select 40 patient specimens to cover the full working range of the method. Analyze 8 specimens a day within 2 hours...]]></description>
										<content:encoded><![CDATA[<p><strong><span style="color:#5C3566;">THE COMPARISON OF METHODS EXPERIMENT </span></strong><br />
James O. Westgard</p>
<p><a href="http://www.westgard.com/lesson23.htm" target="_blank" rel="noopener">Fulltext</a></p>
<p><img decoding="async" src="http://www.westgard.com/images/Westgard/lesson/les23f2.gif" alt="" style="max-width:100%;height:auto;" /><br />
<img decoding="async" src="http://www.westgard.com/images/Westgard/lesson/les23f1.gif" alt="" style="max-width:100%;height:auto;" /></p>
<p>Recommended minimum studies<br />
Select 40 patient specimens to cover the full working range of the method.  Analyze 8 specimens a day within 2 hours by the test and comparative methods.  Graph the results immediately on a difference plot and inspect for discrepancies; reanalyze any specimens that give discrepant results to eliminate outliers and identify potential interferences.  Continue the experiment for 5 days if no discrepant results are observed.  Continue for another 5 days if discrepancies are observed during the first 5 days. Prepare a comparison plot of all the data to assess the range, outliers, and linearity.  Calculate the correlation coefficient and if r is 0.99 or greater, calculate simple linear regression statistics and estimate the systematic error at medical decision concentrations. If r<0.99, estimate bias at the mean of the data from t-test statistics. Utilize the Medical Decision Chart to combine the estimates of systematic and random error and make a judgment on the total error observed for the method.
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		<title>Comparison of analytical methods in clinical chemistry</title>
		<link>https://wp.mikrobik.net/comparison-of-analytical-methods-in-clinical-chemistry/</link>
		
		<dc:creator><![CDATA[mikrobik]]></dc:creator>
		<pubDate>Mon, 02 Mar 2009 10:04:00 +0000</pubDate>
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					<description><![CDATA[Comparison of analytical methods in clinical chemistry Philippe Marquis Fulltext]]></description>
										<content:encoded><![CDATA[<p><strong><span style="color:#5C3566;">Comparison of analytical methods in clinical chemistry</span></strong><br />
Philippe Marquis</p>
<p><a href="http://www.multiqc.com/MethodComparison.pdf" target="_blank" rel="noopener">Fulltext</a></p>
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