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    <title>topic Re: ANOVA of Dose-Response Curve in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/ANOVA-of-Dose-Response-Curve/m-p/374240#M62403</link>
    <description>&lt;P&gt;Hi,&lt;BR /&gt;I think that I provided some direction relevant to this question in your other post:&amp;nbsp;&lt;LI-MESSAGE title="Setting control as baseline" uid="374211" url="https://community.jmp.com/t5/Discussions/Setting-control-as-baseline/m-p/374211#U374211" discussion_style_icon_css="lia-mention-container-editor-message lia-img-icon-forum-thread lia-fa-icon lia-fa-forum lia-fa-thread lia-fa"&gt;&lt;/LI-MESSAGE&gt;&lt;/P&gt;</description>
    <pubDate>Mon, 05 Apr 2021 12:43:24 GMT</pubDate>
    <dc:creator>Thierry_S</dc:creator>
    <dc:date>2021-04-05T12:43:24Z</dc:date>
    <item>
      <title>ANOVA of Dose-Response Curve</title>
      <link>https://community.jmp.com/t5/Discussions/ANOVA-of-Dose-Response-Curve/m-p/374216#M62400</link>
      <description>&lt;P&gt;Hello,&lt;BR /&gt;&lt;BR /&gt;I have some basic questions.&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;I need to create a dose response curve for 3 drugs and 2 controls. How can I use 2-factor ANOVA to compare the drugs and controls? Do I make one of the drugs the dependent variable and a control and another drug as the independent variables? I'm very new to this stuff so I would appreciate some help.&lt;BR /&gt;&lt;BR /&gt;Thanks!&lt;/P&gt;</description>
      <pubDate>Sat, 10 Jun 2023 23:28:17 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/ANOVA-of-Dose-Response-Curve/m-p/374216#M62400</guid>
      <dc:creator>chanson</dc:creator>
      <dc:date>2023-06-10T23:28:17Z</dc:date>
    </item>
    <item>
      <title>Re: ANOVA of Dose-Response Curve</title>
      <link>https://community.jmp.com/t5/Discussions/ANOVA-of-Dose-Response-Curve/m-p/374240#M62403</link>
      <description>&lt;P&gt;Hi,&lt;BR /&gt;I think that I provided some direction relevant to this question in your other post:&amp;nbsp;&lt;LI-MESSAGE title="Setting control as baseline" uid="374211" url="https://community.jmp.com/t5/Discussions/Setting-control-as-baseline/m-p/374211#U374211" discussion_style_icon_css="lia-mention-container-editor-message lia-img-icon-forum-thread lia-fa-icon lia-fa-forum lia-fa-thread lia-fa"&gt;&lt;/LI-MESSAGE&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 05 Apr 2021 12:43:24 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/ANOVA-of-Dose-Response-Curve/m-p/374240#M62403</guid>
      <dc:creator>Thierry_S</dc:creator>
      <dc:date>2021-04-05T12:43:24Z</dc:date>
    </item>
    <item>
      <title>Re: ANOVA of Dose-Response Curve</title>
      <link>https://community.jmp.com/t5/Discussions/ANOVA-of-Dose-Response-Curve/m-p/374433#M62422</link>
      <description>&lt;P&gt;What do you mean by "compare?"&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Also, you have two directions to answer the questions once you decide what comparison makes sense. The first approach is the extract a scalar value, like ED50, You won't be able to apply statistical inference, though, unless you have more than one independent curve for each sample (drug or control). Fit Curve as&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/11634"&gt;@Thierry_S&lt;/a&gt;&amp;nbsp;suggested provides methods to directly compare parameter estimates or test equivalence. The second approach is to use the entire curve. The Functional Data Explorer will convert each curve into a set of 'functional principle components' that represent the salient features of the curves and can be used as a new response variable. You can them use it with the drug and control categorical variable to compare.&lt;/P&gt;</description>
      <pubDate>Mon, 05 Apr 2021 16:42:39 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/ANOVA-of-Dose-Response-Curve/m-p/374433#M62422</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2021-04-05T16:42:39Z</dc:date>
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