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    <title>topic Re: Missing value (&amp;quot;.&amp;quot;) in the PROC MIXED output table in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/488298#M25356</link>
    <description>&lt;P&gt;It worked! Now we don't get any missing values on the type 3 effects output table. This by removing the covariate from the CLASS statement. Why is that?&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you!&lt;/P&gt;</description>
    <pubDate>Mon, 20 Aug 2018 18:04:17 GMT</pubDate>
    <dc:creator>ANKH1</dc:creator>
    <dc:date>2018-08-20T18:04:17Z</dc:date>
    <item>
      <title>Missing value (".") in the PROC MIXED output table</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/487210#M25336</link>
      <description>&lt;P&gt;Hi,&amp;nbsp;&lt;/P&gt;&lt;P&gt;What does a "." mean in the proc mixed? I get this for the variable TRT. For some reason, it runs perfectly well when I input data for 50 subjects but when I use the same model for 30 subjects TRT is a ".".&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;This is the code:&lt;/P&gt;&lt;P&gt;PROC MIXED DATA=MEANS30;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;CLASS ID SEX AGE SES TRT BL0;&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;MODEL TOTAL = TRT|SEX|AGE BL0/ OUTPM=MEANS30RESIDS RESIDUAL VCIRY;&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;REPEATED SES/TYPE=CS SUB=ID;&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;LSMEANS TRT|SEX|AGE/ADJUST=TUKEY;&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;RUN;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Thanks!&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 15 Aug 2018 21:24:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/487210#M25336</guid>
      <dc:creator>ANKH1</dc:creator>
      <dc:date>2018-08-15T21:24:24Z</dc:date>
    </item>
    <item>
      <title>Re: Missing value (".") in the PROC MIXED output table</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/487231#M25337</link>
      <description>&lt;P&gt;The dot is the default value that SAS uses to display any missing numeric.&lt;/P&gt;
&lt;P&gt;you can change the character using the OPTIONS statement.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For example run:&lt;/P&gt;
&lt;P&gt;options missing='?';&lt;/P&gt;
&lt;P&gt;before the proc mixed.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I suspect there are other differences in your data other than the number of observations.&lt;/P&gt;
&lt;P&gt;In some cases you may get a "missing" indicator because a statistic or parameter cannot be estimated for some reason with the specific data, model and options chosen.&lt;/P&gt;
&lt;P&gt;Without example output, or better yet input data, the&amp;nbsp;exact cause will remain a mystery.&lt;/P&gt;</description>
      <pubDate>Wed, 15 Aug 2018 23:59:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/487231#M25337</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2018-08-15T23:59:14Z</dc:date>
    </item>
    <item>
      <title>Re: Missing value (".") in the PROC MIXED output table</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/487902#M25338</link>
      <description>&lt;P&gt;Thank you for your response!&lt;/P&gt;&lt;P&gt;This is output table I get when I run proc mixed:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Type 3 Tests of Fixed Effects&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Num &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Den&lt;/P&gt;&lt;P&gt;Effect &amp;nbsp;&amp;nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; DF &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; DF&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F Value&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Pr &amp;gt; F&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;TRT &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 4 &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 0 &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 3.59&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&lt;/P&gt;&lt;P&gt;SEX &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 1 &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 29 &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 12.79&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0.0012&lt;/P&gt;&lt;P&gt;SEX*TRT&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;4 &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 0&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3.33&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/P&gt;&lt;P&gt;AGE&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;29&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1.01&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0.3235&lt;/P&gt;&lt;P&gt;AGE*TRT&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 3 &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 0&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3.19&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&lt;/P&gt;&lt;P&gt;SEX*AGE&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1 &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 29 &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 0.02&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0.8845&lt;/P&gt;&lt;P&gt;SEX*AGE*TRT&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2 &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 0&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1.39&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&lt;/P&gt;&lt;P&gt;BL0 &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 131&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;16.86&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;This is the proc mixed model&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;PROC MIXED DATA=MEANS32;&lt;BR /&gt;CLASS ID SEX AGE SES TRT BL0;&lt;BR /&gt;MODEL TOTAL = TRT|SEX|AGE BL0/ OUTPM=MEANS32RESIDS RESIDUAL VCIRY;&lt;BR /&gt;REPEATED SES/TYPE=CS SUB=ID;&lt;BR /&gt;LSMEANS TRT|SEX|AGE/ADJUST=TUKEY;&lt;BR /&gt;RUN;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;We want BL0 to be a covariate. This variable is continuous.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;This is the header of the &lt;STRONG&gt;datalines:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;DATA MEANS32;&lt;BR /&gt;INPUT ID$&amp;nbsp; &amp;nbsp;SEX$&amp;nbsp; &amp;nbsp;AGE$&amp;nbsp; &amp;nbsp;SES$&amp;nbsp; &amp;nbsp;TRT$&amp;nbsp; &amp;nbsp;BL0&amp;nbsp; &amp;nbsp;BL120&amp;nbsp; TOTAL&amp;nbsp; PRE&amp;nbsp; POST&amp;nbsp; MEAL;&lt;BR /&gt;DATALINES;&lt;/P&gt;&lt;P&gt;PA03 M O 3 A 75.25 79 62.85 74.94 14.50 -70.5&lt;BR /&gt;PB05 F O 4 A 58.25 71.25 50.88 61.66 7.75 -62.5&lt;BR /&gt;PS06 M O 5 A 81.25 82.25 67.60 79.63 19.50 -63.75&lt;BR /&gt;PR08 M O 2 A 60 86.25 60.40 72.41 12.38 -75.75&lt;BR /&gt;PA10 F O 1 A 59.75 95.75 62.30 76.56 5.25 -90&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Weird thing is that when we used data for 50 id's it ran everything, but when we reduced that number to 30 we got the output showed above (&lt;SPAN&gt;Type 3 Tests of Fixed Effects&lt;/SPAN&gt;).&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;With this info, is it possible to know why is that happening?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks in advance&lt;/P&gt;</description>
      <pubDate>Fri, 17 Aug 2018 19:06:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/487902#M25338</guid>
      <dc:creator>ANKH1</dc:creator>
      <dc:date>2018-08-17T19:06:13Z</dc:date>
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    <item>
      <title>Re: Missing value (".") in the PROC MIXED output table</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/488058#M25339</link>
      <description>&lt;P&gt;Looks like the number of joint levels of&amp;nbsp;TRT|SEX|AGE exceeds the number of observations, so there are not enough denominator degrees-of-freedom to perform an F test.&amp;nbsp;Is age really a classification variable? AGE is a character variable with ... how many levels? Six or more?&lt;/P&gt;</description>
      <pubDate>Sun, 19 Aug 2018 11:00:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/488058#M25339</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-08-19T11:00:34Z</dc:date>
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    <item>
      <title>Re: Missing value (".") in the PROC MIXED output table</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/488059#M25340</link>
      <description>&lt;BLOCKQUOTE&gt;
&lt;P&gt;We want BL0 to be a covariate. This variable is continuous.&amp;nbsp;&lt;/P&gt;
&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Take BL0 out of the CLASS statement. This most likely solves the problem you are having.&lt;/P&gt;</description>
      <pubDate>Sun, 19 Aug 2018 13:09:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/488059#M25340</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2018-08-19T13:09:18Z</dc:date>
    </item>
    <item>
      <title>Re: Missing value (".") in the PROC MIXED output table</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/488298#M25356</link>
      <description>&lt;P&gt;It worked! Now we don't get any missing values on the type 3 effects output table. This by removing the covariate from the CLASS statement. Why is that?&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you!&lt;/P&gt;</description>
      <pubDate>Mon, 20 Aug 2018 18:04:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/488298#M25356</guid>
      <dc:creator>ANKH1</dc:creator>
      <dc:date>2018-08-20T18:04:17Z</dc:date>
    </item>
    <item>
      <title>Re: Missing value (".") in the PROC MIXED output table</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/488592#M25367</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/226521"&gt;@ANKH1&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;It worked! Now we don't get any missing values on the type 3 effects output table. This by removing the covariate from the CLASS statement. Why is that? &lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;If you submit the right code, where you tell SAS that a continuous variable is continuous (by not putting it in the CLASS statement), SAS does what you want.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you tell SAS a continuous variable is a CLASS variable, which it is not, it will eat up a lot of degrees of freedom, and then many other things in your model can't be estimated because there aren't enough degrees of freedom left.&lt;/P&gt;</description>
      <pubDate>Tue, 21 Aug 2018 14:39:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/488592#M25367</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2018-08-21T14:39:27Z</dc:date>
    </item>
    <item>
      <title>Re: Missing value (".") in the PROC MIXED output table</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/488600#M25369</link>
      <description>&lt;P&gt;Thanks for explaining that!&lt;/P&gt;</description>
      <pubDate>Tue, 21 Aug 2018 14:48:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Missing-value-quot-quot-in-the-PROC-MIXED-output-table/m-p/488600#M25369</guid>
      <dc:creator>ANKH1</dc:creator>
      <dc:date>2018-08-21T14:48:45Z</dc:date>
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