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    <title>topic Standard error is 0 in &amp;quot;Solution for Fixed Effects&amp;quot; in PROC MIXED when using transformed variable in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Standard-error-is-0-in-quot-Solution-for-Fixed-Effects-quot-in/m-p/674215#M32263</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;I am running PROC MIXED on an outcome variable called Reaction_Time and the predictors Day, Day*Day (quadratic trajectory), Sleepiness, Day*Sleepiness, Day*Day*Sleepiness, and Time. See the code below for my analysis:&lt;/P&gt;&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;Proc Mixed data=SR.Cog NOCLPRINT NOITPRINT COVTEST METHOD=ML; 
CLASS Participant; 
MODEL Reaction_Time = Day Day*Day Sleepiness Day*Sleepiness Day*Day*Sleepiness Time / SOLUTION; 
RANDOM intercept / TYPE=AR(1) SUBJECT=Participant; run;&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;When using such code I have no issues with the SAS output. However, if I substitute Response_Speed,&amp;nbsp;the inversely transformed variable of Reaction_Time (that is, 1/Reaction_Time), in place of Reaction_Time, the "Solution for Fixed Effects" produces standard errors of 0 for my effects for "Day*Day*Sleepiness" and "Time." See the attached screenshot of my output:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="confooseddesi89_0-1596491274853.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/47894iDDC19549A6C7B238/image-size/medium?v=v2&amp;amp;px=400" role="button" title="confooseddesi89_0-1596491274853.png" alt="confooseddesi89_0-1596491274853.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;The "t Values" are consequently infinity, and the &lt;EM&gt;p-&lt;/EM&gt;values are &amp;lt; .0001. As you can see, in "Type 3 Tests of Fixed Effects," this phenomenon does not seem to be occurring; the &lt;EM&gt;p&lt;/EM&gt;-values are over .0001. I tried searching online for standard errors of 0; it was mentioned that the model may be overparameterized. I'm not sure why this would be the case, as the model ran just fine with the non-transformed variable (Reaction_Time). Can someone clarify and help me fix this error?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;&lt;P&gt;confooseddesi89&lt;/P&gt;</description>
    <pubDate>Mon, 03 Aug 2020 21:55:55 GMT</pubDate>
    <dc:creator>confooseddesi89</dc:creator>
    <dc:date>2020-08-03T21:55:55Z</dc:date>
    <item>
      <title>Standard error is 0 in "Solution for Fixed Effects" in PROC MIXED when using transformed variable</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Standard-error-is-0-in-quot-Solution-for-Fixed-Effects-quot-in/m-p/674215#M32263</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;I am running PROC MIXED on an outcome variable called Reaction_Time and the predictors Day, Day*Day (quadratic trajectory), Sleepiness, Day*Sleepiness, Day*Day*Sleepiness, and Time. See the code below for my analysis:&lt;/P&gt;&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;Proc Mixed data=SR.Cog NOCLPRINT NOITPRINT COVTEST METHOD=ML; 
CLASS Participant; 
MODEL Reaction_Time = Day Day*Day Sleepiness Day*Sleepiness Day*Day*Sleepiness Time / SOLUTION; 
RANDOM intercept / TYPE=AR(1) SUBJECT=Participant; run;&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;When using such code I have no issues with the SAS output. However, if I substitute Response_Speed,&amp;nbsp;the inversely transformed variable of Reaction_Time (that is, 1/Reaction_Time), in place of Reaction_Time, the "Solution for Fixed Effects" produces standard errors of 0 for my effects for "Day*Day*Sleepiness" and "Time." See the attached screenshot of my output:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="confooseddesi89_0-1596491274853.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/47894iDDC19549A6C7B238/image-size/medium?v=v2&amp;amp;px=400" role="button" title="confooseddesi89_0-1596491274853.png" alt="confooseddesi89_0-1596491274853.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;The "t Values" are consequently infinity, and the &lt;EM&gt;p-&lt;/EM&gt;values are &amp;lt; .0001. As you can see, in "Type 3 Tests of Fixed Effects," this phenomenon does not seem to be occurring; the &lt;EM&gt;p&lt;/EM&gt;-values are over .0001. I tried searching online for standard errors of 0; it was mentioned that the model may be overparameterized. I'm not sure why this would be the case, as the model ran just fine with the non-transformed variable (Reaction_Time). Can someone clarify and help me fix this error?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;&lt;P&gt;confooseddesi89&lt;/P&gt;</description>
      <pubDate>Mon, 03 Aug 2020 21:55:55 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Standard-error-is-0-in-quot-Solution-for-Fixed-Effects-quot-in/m-p/674215#M32263</guid>
      <dc:creator>confooseddesi89</dc:creator>
      <dc:date>2020-08-03T21:55:55Z</dc:date>
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    <item>
      <title>Re: Standard error is 0 in "Solution for Fixed Effects" in PROC MIXED when using transform</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Standard-error-is-0-in-quot-Solution-for-Fixed-Effects-quot-in/m-p/674303#M32272</link>
      <description>&lt;P&gt;I'm guessing your scaling of variables is very different and the zero happens because of &lt;A href="https://en.wikipedia.org/wiki/Arithmetic_underflow" target="_self"&gt;arithmetic underflow&lt;/A&gt;.&lt;/P&gt;</description>
      <pubDate>Tue, 04 Aug 2020 11:04:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Standard-error-is-0-in-quot-Solution-for-Fixed-Effects-quot-in/m-p/674303#M32272</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-08-04T11:04:47Z</dc:date>
    </item>
    <item>
      <title>Re: Standard error is 0 in "Solution for Fixed Effects" in PROC MIXED when using transform</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Standard-error-is-0-in-quot-Solution-for-Fixed-Effects-quot-in/m-p/674322#M32275</link>
      <description>&lt;P&gt;That was it! Changed the scaling of my variable (multiplied by 1000) and I didn't get 0 standard errors anymore. Thanks!&lt;/P&gt;</description>
      <pubDate>Tue, 04 Aug 2020 11:54:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Standard-error-is-0-in-quot-Solution-for-Fixed-Effects-quot-in/m-p/674322#M32275</guid>
      <dc:creator>confooseddesi89</dc:creator>
      <dc:date>2020-08-04T11:54:21Z</dc:date>
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