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    <title>topic adjusted mean HELP in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/adjusted-mean-HELP/m-p/76635#M22216</link>
    <description>Hi, i'm new to SAS and i could use some help for a problem.&lt;BR /&gt;
I'm working on a sample of 2,500 subjects and I'd like to calculate &lt;BR /&gt;
the mean of a variable X for my entire sample, adjusted for age,sex and another variable Y (knowing that age and Y are considered continuous).Is it possible to do such thing in SAS? I know how to obtain adjusted means with proc glm but across the categories of a categorical variable like:&lt;BR /&gt;
proc glm data=table;&lt;BR /&gt;
class x1;&lt;BR /&gt;
model X=x1 x2 x3;&lt;BR /&gt;
lsmeans x1;run;&lt;BR /&gt;
&lt;BR /&gt;
My problem is to do the same but without having so called categorical variable...&lt;BR /&gt;
&lt;BR /&gt;
Thanks a lot!!&lt;BR /&gt;
AS

Message was edited by: AS</description>
    <pubDate>Sun, 08 Mar 2009 01:13:47 GMT</pubDate>
    <dc:creator>deleted_user</dc:creator>
    <dc:date>2009-03-08T01:13:47Z</dc:date>
    <item>
      <title>adjusted mean HELP</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/adjusted-mean-HELP/m-p/76635#M22216</link>
      <description>Hi, i'm new to SAS and i could use some help for a problem.&lt;BR /&gt;
I'm working on a sample of 2,500 subjects and I'd like to calculate &lt;BR /&gt;
the mean of a variable X for my entire sample, adjusted for age,sex and another variable Y (knowing that age and Y are considered continuous).Is it possible to do such thing in SAS? I know how to obtain adjusted means with proc glm but across the categories of a categorical variable like:&lt;BR /&gt;
proc glm data=table;&lt;BR /&gt;
class x1;&lt;BR /&gt;
model X=x1 x2 x3;&lt;BR /&gt;
lsmeans x1;run;&lt;BR /&gt;
&lt;BR /&gt;
My problem is to do the same but without having so called categorical variable...&lt;BR /&gt;
&lt;BR /&gt;
Thanks a lot!!&lt;BR /&gt;
AS

Message was edited by: AS</description>
      <pubDate>Sun, 08 Mar 2009 01:13:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/adjusted-mean-HELP/m-p/76635#M22216</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2009-03-08T01:13:47Z</dc:date>
    </item>
    <item>
      <title>Re: adjusted mean HELP</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/adjusted-mean-HELP/m-p/76636#M22217</link>
      <description>Suggest you have a look at the SAS support website  &lt;A href="http://support.sas.com/" target="_blank"&gt;http://support.sas.com/&lt;/A&gt; and use the SEARCH facility, or consider using Google advanced search with the argument (site parameter in lowercase limits search to the SAS.COM site):&lt;BR /&gt;
&lt;BR /&gt;
calculate adjusted mean site:sas.com&lt;BR /&gt;
&lt;BR /&gt;
&lt;BR /&gt;
Scott Barry&lt;BR /&gt;
SBBWorks, Inc.</description>
      <pubDate>Sun, 08 Mar 2009 14:37:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/adjusted-mean-HELP/m-p/76636#M22217</guid>
      <dc:creator>sbb</dc:creator>
      <dc:date>2009-03-08T14:37:27Z</dc:date>
    </item>
    <item>
      <title>Re: adjusted mean HELP</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/adjusted-mean-HELP/m-p/76637#M22218</link>
      <description>Thanks Scott for your answer.&lt;BR /&gt;
However I didn't find anything relevant. Everything is related to the obtention of adjusted means across categorical variables...&lt;BR /&gt;
I'll keep looking.&lt;BR /&gt;
AS</description>
      <pubDate>Mon, 09 Mar 2009 16:35:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/adjusted-mean-HELP/m-p/76637#M22218</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2009-03-09T16:35:34Z</dc:date>
    </item>
    <item>
      <title>Re: adjusted mean HELP</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/adjusted-mean-HELP/m-p/76638#M22219</link>
      <description>You have to set values for x1, x2, and my favorite, x3, and then generate a predicted value for X. Otherwise, your problem statement seems meaningless to me.</description>
      <pubDate>Mon, 09 Mar 2009 20:09:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/adjusted-mean-HELP/m-p/76638#M22219</guid>
      <dc:creator>Paige</dc:creator>
      <dc:date>2009-03-09T20:09:05Z</dc:date>
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