<?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: Treatment choice , which model ? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270555#M14232</link>
    <description>&lt;P&gt;You could investigate decision tree procedures. The easiest is the partition platform in JMP. In SAS/STAT, you should try proc HPSPLIT. The skeleton code would look like&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc hpsplit data=myData;
target treatment / level=nom;
input fact1 fact2 fact3 / level=int; /* List of continuous factors */
input fact4 - fact25 / level=nom; /* List of categorical factors */
output nodestats=myNodes importance=myVars;
run;s&lt;/CODE&gt;&amp;nbsp;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Sun, 15 May 2016 02:11:12 GMT</pubDate>
    <dc:creator>PGStats</dc:creator>
    <dc:date>2016-05-15T02:11:12Z</dc:date>
    <item>
      <title>Treatment choice , which model ?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270508#M14229</link>
      <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have 6000 patients with 10 treatment choice. &amp;nbsp;I would like to see which factors are accociated with the doctor's decision about the treatment. &amp;nbsp;There are 25 factors total.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am wondering how this should be modeld , what analysis result should be used.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you very much,&lt;/P&gt;&lt;P&gt;Ivy&lt;/P&gt;</description>
      <pubDate>Sat, 14 May 2016 12:35:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270508#M14229</guid>
      <dc:creator>Ivy</dc:creator>
      <dc:date>2016-05-14T12:35:42Z</dc:date>
    </item>
    <item>
      <title>Re: Treatment choice , which model ?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270512#M14230</link>
      <description>&lt;P&gt;It sounds like the response variable is a categorical variable with 10 levels. You can analyze data like that by using a generalized logistic model.&amp;nbsp; In SAS you can use PROC LOGISTIC for the analysis.&amp;nbsp; There is &lt;A href="http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_logistic_examples04.htm" target="_self"&gt;an example of a generlized logit model in the documentation&lt;/A&gt; for PROC LOGISTIC, along with an explanation of the output, so copy that example. A main-effects model will look something like&lt;/P&gt;
&lt;P&gt;MODEL treatment = x1 x2 x3 ... x25 / link=glogit;&lt;/P&gt;
&lt;P&gt;where x1-x25 are the 25 factors.&lt;/P&gt;</description>
      <pubDate>Sat, 14 May 2016 13:19:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270512#M14230</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2016-05-14T13:19:45Z</dc:date>
    </item>
    <item>
      <title>Re: Treatment choice , which model ?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270547#M14231</link>
      <description>&lt;P&gt;You could also consider a discriminant analysis, if you consider each treatment option a group.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You need to factor in the doctor though, there tends to be a bias by provider, not sure how that would be handled. Maybe just as a categorical variable?&amp;nbsp;I would suggest anonymizing the docs names from yourself and until you finalize your results to prevent personal bias. &amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 14 May 2016 21:12:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270547#M14231</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2016-05-14T21:12:53Z</dc:date>
    </item>
    <item>
      <title>Re: Treatment choice , which model ?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270555#M14232</link>
      <description>&lt;P&gt;You could investigate decision tree procedures. The easiest is the partition platform in JMP. In SAS/STAT, you should try proc HPSPLIT. The skeleton code would look like&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc hpsplit data=myData;
target treatment / level=nom;
input fact1 fact2 fact3 / level=int; /* List of continuous factors */
input fact4 - fact25 / level=nom; /* List of categorical factors */
output nodestats=myNodes importance=myVars;
run;s&lt;/CODE&gt;&amp;nbsp;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 15 May 2016 02:11:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270555#M14232</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2016-05-15T02:11:12Z</dc:date>
    </item>
    <item>
      <title>Re: Treatment choice , which model ?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270685#M14244</link>
      <description>Thank you all very much !&lt;BR /&gt;&lt;BR /&gt;I will take a look of these procedures.&lt;BR /&gt;&lt;BR /&gt;Have a nice day !</description>
      <pubDate>Mon, 16 May 2016 13:26:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270685#M14244</guid>
      <dc:creator>Ivy</dc:creator>
      <dc:date>2016-05-16T13:26:05Z</dc:date>
    </item>
    <item>
      <title>Re: Treatment choice , which model ?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270702#M14245</link>
      <description>&lt;P&gt;You might also have to consider the patient's health insurance as some insurance sources may not pay, or only partially pay,&amp;nbsp;for certain procedures and that can influence a provider's choice.&lt;/P&gt;</description>
      <pubDate>Mon, 16 May 2016 14:45:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Treatment-choice-which-model/m-p/270702#M14245</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2016-05-16T14:45:34Z</dc:date>
    </item>
  </channel>
</rss>

