<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Linearity assessment in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Linearity-assessment/m-p/679671#M86580</link>
    <description>&lt;P&gt;Dear Mark,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you for your help.&lt;/P&gt;&lt;P&gt;Are there any tools for helping in data table preparation ? Especially for study including replicates.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards.&lt;/P&gt;</description>
    <pubDate>Wed, 20 Sep 2023 14:39:32 GMT</pubDate>
    <dc:creator>cpuisney</dc:creator>
    <dc:date>2023-09-20T14:39:32Z</dc:date>
    <item>
      <title>Linearity assessment</title>
      <link>https://community.jmp.com/t5/Discussions/Linearity-assessment/m-p/679251#M86544</link>
      <description>&lt;P&gt;Dear all,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I want to perform a regression for method comparison in laboratory using two types of data :&lt;/P&gt;&lt;P&gt;- Data from a first analyzer in X axis which were performed in 1 run in duplicate (2 values)&lt;/P&gt;&lt;P&gt;- Data from a new analyzer in Y axis which were performed in 2 run in duplicate (4 values)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;With regression data, I want then to perform least squares regression, lack of fit test and outlier test. Can anybody help me on this point ?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you for your help&lt;/P&gt;</description>
      <pubDate>Tue, 19 Sep 2023 08:47:09 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Linearity-assessment/m-p/679251#M86544</guid>
      <dc:creator>cpuisney</dc:creator>
      <dc:date>2023-09-19T08:47:09Z</dc:date>
    </item>
    <item>
      <title>Re: Linearity assessment</title>
      <link>https://community.jmp.com/t5/Discussions/Linearity-assessment/m-p/679290#M86547</link>
      <description>&lt;P&gt;Are you following a protocol such as EP-09 by CLSI?&lt;/P&gt;
&lt;P&gt;JMP supports Deming regression and Passing-Bablok regression in Analyze &amp;gt; Fity Y by X (ultimately the Bivariate platform). It also supports the Bland-Altman analysis in Analyze &amp;gt; Specialized &amp;gt; Matched Pairs.&lt;/P&gt;
&lt;P&gt;See the &lt;A href="https://www.jmp.com/support/help/en/17.0/#page/jmp/bivariate-analysis.shtml#" target="_self"&gt;Bivariate&lt;/A&gt; and &lt;A href="https://www.jmp.com/support/help/en/17.0/#page/jmp/matched-pairs-analysis.shtml#" target="_self"&gt;Matched Pairs&lt;/A&gt; documentation.&lt;/P&gt;</description>
      <pubDate>Tue, 19 Sep 2023 12:43:36 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Linearity-assessment/m-p/679290#M86547</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2023-09-19T12:43:36Z</dc:date>
    </item>
    <item>
      <title>Re: Linearity assessment</title>
      <link>https://community.jmp.com/t5/Discussions/Linearity-assessment/m-p/679291#M86548</link>
      <description>&lt;P&gt;I should also mention that the Measurement System Analysis platform offers a lot of capability for comparisons, including bias and linearity. See the &lt;A href="https://www.jmp.com/support/help/en/17.0/#page/jmp/measurement-systems-analysis.shtml#" target="_self"&gt;MSA&lt;/A&gt; documentation.&lt;/P&gt;</description>
      <pubDate>Tue, 19 Sep 2023 12:45:26 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Linearity-assessment/m-p/679291#M86548</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2023-09-19T12:45:26Z</dc:date>
    </item>
    <item>
      <title>Re: Linearity assessment</title>
      <link>https://community.jmp.com/t5/Discussions/Linearity-assessment/m-p/679671#M86580</link>
      <description>&lt;P&gt;Dear Mark,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you for your help.&lt;/P&gt;&lt;P&gt;Are there any tools for helping in data table preparation ? Especially for study including replicates.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards.&lt;/P&gt;</description>
      <pubDate>Wed, 20 Sep 2023 14:39:32 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Linearity-assessment/m-p/679671#M86580</guid>
      <dc:creator>cpuisney</dc:creator>
      <dc:date>2023-09-20T14:39:32Z</dc:date>
    </item>
    <item>
      <title>Re: Linearity assessment</title>
      <link>https://community.jmp.com/t5/Discussions/Linearity-assessment/m-p/679681#M86583</link>
      <description>&lt;P&gt;What is the question regarding replicates? Replicates appear as additional rows.&lt;/P&gt;</description>
      <pubDate>Wed, 20 Sep 2023 14:53:32 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Linearity-assessment/m-p/679681#M86583</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2023-09-20T14:53:32Z</dc:date>
    </item>
  </channel>
</rss>

