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    <title>topic Help with mutliple comparisons in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Help-with-mutliple-comparisons/m-p/127137#M34825</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;BR /&gt;Hi all--&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am comparing dichotomous health-related variables (ie do you have diabetes? asthma? health insurance? etc) among three separate surveys. Two of the surveys are national and sponsored by the CDC: NHANES and NSCH.&lt;/P&gt;&lt;P&gt;The third survey is conducted by a local hospital system here in Texas.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I have run PROC SURVEYFREQ on all of my variables to obtain the proportions and std error.&lt;/P&gt;&lt;P&gt;Now that I have them, I need to compare between them in order to determine if they are statistically different.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I'm considering using PROC MULTTEST...but if I do that, then I would either&lt;/P&gt;&lt;P&gt;a) have to input the p-values (and how would I generate those?)&lt;/P&gt;&lt;P&gt;or&lt;/P&gt;&lt;P&gt;b) ask for the Procedure to run a test and the one that fits best i think would be Test Fisher Exact.&lt;/P&gt;&lt;P&gt;Then I can ask for the Bootstrap and Bonferroni corrections on the mult comparisons.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;So, am I on the right track? or is there a completely different way for me to think about this??&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Please advise!!&lt;/P&gt;&lt;P&gt;Thank you very much in advance,&lt;/P&gt;&lt;P&gt;--ami richards&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 02 Sep 2013 01:24:57 GMT</pubDate>
    <dc:creator>amijacks</dc:creator>
    <dc:date>2013-09-02T01:24:57Z</dc:date>
    <item>
      <title>Help with mutliple comparisons</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Help-with-mutliple-comparisons/m-p/127137#M34825</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;BR /&gt;Hi all--&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am comparing dichotomous health-related variables (ie do you have diabetes? asthma? health insurance? etc) among three separate surveys. Two of the surveys are national and sponsored by the CDC: NHANES and NSCH.&lt;/P&gt;&lt;P&gt;The third survey is conducted by a local hospital system here in Texas.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I have run PROC SURVEYFREQ on all of my variables to obtain the proportions and std error.&lt;/P&gt;&lt;P&gt;Now that I have them, I need to compare between them in order to determine if they are statistically different.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I'm considering using PROC MULTTEST...but if I do that, then I would either&lt;/P&gt;&lt;P&gt;a) have to input the p-values (and how would I generate those?)&lt;/P&gt;&lt;P&gt;or&lt;/P&gt;&lt;P&gt;b) ask for the Procedure to run a test and the one that fits best i think would be Test Fisher Exact.&lt;/P&gt;&lt;P&gt;Then I can ask for the Bootstrap and Bonferroni corrections on the mult comparisons.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;So, am I on the right track? or is there a completely different way for me to think about this??&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Please advise!!&lt;/P&gt;&lt;P&gt;Thank you very much in advance,&lt;/P&gt;&lt;P&gt;--ami richards&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 02 Sep 2013 01:24:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Help-with-mutliple-comparisons/m-p/127137#M34825</guid>
      <dc:creator>amijacks</dc:creator>
      <dc:date>2013-09-02T01:24:57Z</dc:date>
    </item>
    <item>
      <title>Re: Help with mutliple comparisons</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Help-with-mutliple-comparisons/m-p/127138#M34826</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Ami,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I don't think you can get Fisher's Exact Test out of PROC SURVEYFREQ.&amp;nbsp; However, for large surveys such as NHANES, using a Wald chi-square seems appropriate, as would a Rao-Scott.&amp;nbsp; If you do that, then adding an ODS statement should get the unadjusted p values into a dataset.&amp;nbsp; You may have to do a little bit of editing on that dataset, but you can input the p-values using the INPVALUES= option in the PROC MULTTEST statement.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 03 Sep 2013 13:11:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Help-with-mutliple-comparisons/m-p/127138#M34826</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2013-09-03T13:11:48Z</dc:date>
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