<?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: Proc Mixed and family wise error in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Mixed-and-family-wise-error/m-p/812151#M40049</link>
    <description>&lt;P&gt;Could you post the code you are using?&amp;nbsp; I believe you can get family-wise adjustments of p values for differences between lsmeans using the ADJUST= option in the LSMEANS/LSMESTIMATE/ESTIMATE/CONTRAST statement, but it will depend on how you frame the comparisons.&amp;nbsp; It may also require a GROUP= option for the random or repeated effect.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;SteveDenham&lt;/P&gt;</description>
    <pubDate>Mon, 09 May 2022 12:42:00 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2022-05-09T12:42:00Z</dc:date>
    <item>
      <title>Proc Mixed and family wise error</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Mixed-and-family-wise-error/m-p/811400#M40011</link>
      <description>&lt;P&gt;I used Proc Mixed statements to run multiple path analyses to test the direct and indirect effects of my two IVs and two mediators on three DVs (2x2 within-between mixed experimental design).&lt;BR /&gt;&lt;BR /&gt;One of the p-values associated with these paths was close to .05, and the reviewer raised a concern of experimental-wise type 1 error. I think family-wise type 1 error should be the concern of this case. I wonder whether the Proc Mixed procedures provide any statement or (default) function to adjust p-values to control the family-wise type1 error issue. Thanks a lot for any suggestions and help!&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 04 May 2022 12:28:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Mixed-and-family-wise-error/m-p/811400#M40011</guid>
      <dc:creator>zz109</dc:creator>
      <dc:date>2022-05-04T12:28:21Z</dc:date>
    </item>
    <item>
      <title>Re: Pros Mixed and family wise error</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Mixed-and-family-wise-error/m-p/811406#M40012</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/424625"&gt;@zz109&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;I wonder whether the Proc Mixed procedures provide any statement or (default) function to adjust p-values to control the family-wise type1 error issue. Thanks a lot for any suggestions and help!&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;I do not think so.&lt;BR /&gt;The p-values in PROC MIXED are "raw" (i.e. unadjusted).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Maybe you can have a look into MULTTEST Procedure.&lt;BR /&gt;SAS® 9.4 and SAS® Viya® 3.5 Programming Documentation | SAS 9.4 / Viya 3.5&lt;BR /&gt;SAS/STAT User's Guide&lt;BR /&gt;The MULTTEST Procedure&lt;BR /&gt;p-Value Adjustments&lt;BR /&gt;Familywise Error Rate Controlling Adjustments&lt;BR /&gt;&lt;A href="https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/statug/statug_multtest_details11.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/statug/statug_multtest_details11.htm&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Cheers,&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;</description>
      <pubDate>Wed, 04 May 2022 10:57:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Mixed-and-family-wise-error/m-p/811406#M40012</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2022-05-04T10:57:17Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Mixed and family wise error</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Mixed-and-family-wise-error/m-p/812151#M40049</link>
      <description>&lt;P&gt;Could you post the code you are using?&amp;nbsp; I believe you can get family-wise adjustments of p values for differences between lsmeans using the ADJUST= option in the LSMEANS/LSMESTIMATE/ESTIMATE/CONTRAST statement, but it will depend on how you frame the comparisons.&amp;nbsp; It may also require a GROUP= option for the random or repeated effect.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;SteveDenham&lt;/P&gt;</description>
      <pubDate>Mon, 09 May 2022 12:42:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Mixed-and-family-wise-error/m-p/812151#M40049</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2022-05-09T12:42:00Z</dc:date>
    </item>
  </channel>
</rss>

