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    <title>topic Re: Suitable regression method Linear, mixed or non linear? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698437#M33689</link>
    <description>&lt;P&gt;The between group variance and the within group variance are outputs from PROC GLM, in the code I gave earlier.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The mean square for "Model" is the between group variance. The mean square for "Error" is the within group variance.&lt;/P&gt;</description>
    <pubDate>Thu, 12 Nov 2020 16:27:13 GMT</pubDate>
    <dc:creator>PaigeMiller</dc:creator>
    <dc:date>2020-11-12T16:27:13Z</dc:date>
    <item>
      <title>Suitable regression method Linear, mixed or non linear?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698363#M33681</link>
      <description>&lt;P&gt;&lt;SPAN&gt;I have the below data related to a clinical study. I would like to understand if there is a correlation in prescribing the prescription per Genral practioner. In the data there are 3 GP's handling 14 patients GP 1 handled 5 patients, GP 2 handled 4 patients and GP 3. I want to know if the patients have strong or weak correlation in terms of having similar number of prescriptions prescribed by their GP. To understand the correlation by group what is the suitable method I can apply? Thank you for your help.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE class="default s-code-block hljs yaml"&gt;&lt;CODE&gt;&lt;SPAN class="hljs-string"&gt;GP_Id&lt;/SPAN&gt; &lt;SPAN class="hljs-string"&gt;Pat_Id&lt;/SPAN&gt;    &lt;SPAN class="hljs-string"&gt;Total_prescribed_prescriptions&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;1&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;a&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;1&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;1&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;b&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;2&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;1&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;c&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;4&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;1&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;d&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;1&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;1&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;e&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;2&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;2&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;f&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;7&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;2&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;g&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;2&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;2&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;h&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;1&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;2&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;i&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;7&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;3&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;j&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;8&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;3&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;k&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;9&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;3&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;l&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;4&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;3&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;m&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;6&lt;/SPAN&gt;
&lt;SPAN class="hljs-number"&gt;3&lt;/SPAN&gt;   &lt;SPAN class="hljs-string"&gt;n&lt;/SPAN&gt;   &lt;SPAN class="hljs-number"&gt;4&lt;/SPAN&gt;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Thu, 12 Nov 2020 12:22:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698363#M33681</guid>
      <dc:creator>Chapi</dc:creator>
      <dc:date>2020-11-12T12:22:57Z</dc:date>
    </item>
    <item>
      <title>Re: Suitable regression method Linear, mixed or non linear?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698365#M33682</link>
      <description>&lt;P&gt;You talk about "correlations" but I would not use that word here. Correlation of what variable with what other variable? The General Practitioners are distinct individuals, and despite the fact that you have numbered them 1, 2, 3, there is no concept of a linear or non-linear relationship here, and no concept of "correlation" in the statistical meaning of the word here.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;As I understand the problem (and please correct me if I am wrong), you want to test if the MEAN number of prescriptions varies from doctor to doctor.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;So, here's my solution:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc glm data=have;
    class gp_id;
    model total_prescribed_prescriptions=gp_id;
    means gp_id/t;
run;
quit;
    &lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 12 Nov 2020 12:38:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698365#M33682</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-12T12:38:03Z</dc:date>
    </item>
    <item>
      <title>Re: Suitable regression method Linear, mixed or non linear?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698368#M33683</link>
      <description>&lt;P&gt;Thank you so much for the recommendation. Is it also possible mixed procedure or Intraclass correlation techniques to find out the MEAN number of prescriptions varies from doctor to doctor?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Many thanks and best regards,&lt;/P&gt;&lt;P&gt;Kiran Chapidi&lt;/P&gt;</description>
      <pubDate>Thu, 12 Nov 2020 12:52:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698368#M33683</guid>
      <dc:creator>Chapi</dc:creator>
      <dc:date>2020-11-12T12:52:48Z</dc:date>
    </item>
    <item>
      <title>Re: Suitable regression method Linear, mixed or non linear?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698369#M33684</link>
      <description>&lt;P&gt;Please explain further. I simply don't see correlation as a meaningful thing to do here. As I said in my first message, correlation of which variable with which other variable?&lt;/P&gt;</description>
      <pubDate>Thu, 12 Nov 2020 13:35:41 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698369#M33684</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-12T13:35:41Z</dc:date>
    </item>
    <item>
      <title>Re: Suitable regression method Linear, mixed or non linear?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698431#M33688</link>
      <description>&lt;BR /&gt;I think I now know how to explain. I would like to know how to calculate variance between the group and variance within the group of prescriptions. I am not sure how to do this.&lt;BR /&gt;</description>
      <pubDate>Thu, 12 Nov 2020 16:15:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698431#M33688</guid>
      <dc:creator>Chapi</dc:creator>
      <dc:date>2020-11-12T16:15:39Z</dc:date>
    </item>
    <item>
      <title>Re: Suitable regression method Linear, mixed or non linear?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698437#M33689</link>
      <description>&lt;P&gt;The between group variance and the within group variance are outputs from PROC GLM, in the code I gave earlier.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The mean square for "Model" is the between group variance. The mean square for "Error" is the within group variance.&lt;/P&gt;</description>
      <pubDate>Thu, 12 Nov 2020 16:27:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698437#M33689</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-12T16:27:13Z</dc:date>
    </item>
    <item>
      <title>Re: Suitable regression method Linear, mixed or non linear?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698440#M33690</link>
      <description>Thanks a lot, I understand now, I accepted your solution. Have a great day!!</description>
      <pubDate>Thu, 12 Nov 2020 16:33:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Suitable-regression-method-Linear-mixed-or-non-linear/m-p/698440#M33690</guid>
      <dc:creator>Chapi</dc:creator>
      <dc:date>2020-11-12T16:33:37Z</dc:date>
    </item>
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