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    <title>topic PROC GLM OR PROC MIX FOR BIOEQUIVALENCE STUDY in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLM-OR-PROC-MIX-FOR-BIOEQUIVALENCE-STUDY/m-p/569778#M28040</link>
    <description>&lt;P&gt;Hi SAS Users,&lt;/P&gt;&lt;P&gt;I need to test bioequivalent between two treatment. Bioequivalence is defined as 90% CI of the geometric mean ratio between treatment and reference lines within 0.8 and 1.25.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a sample data set that is from a guideline and I want to write the code which can generate the same outputs as the guideline.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I used the ID,&amp;nbsp; seq, period, AUCt data in Table A1-E and A1-F from the linked PDF. It should come up with the output on Table A1-H and A1-I.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A title="Conduct and Analysis of Comparative Bioavailability Studies " href="https://www.canada.ca/content/dam/hc-sc/documents/services/drugs-health-products/drug-products/applications-submissions/guidance-documents/bioavailability-bioequivalence/conduct-analysis-comparative.pdf" target="_self"&gt;https://www.canada.ca/content/dam/hc-sc/documents/services/drugs-health-products/drug-products/applications-submissions/guidance-documents/bioavailability-bioequivalence/conduct-analysis-comparative.pdf&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I also attached the sas data set here.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have tried several sets of code and cannot find the same outcome. Particularly the output on Table A1-I (parameter as subject(seq) and residual with their variance. How should I modify the code?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;/* using proc mixed*/

PROC MIXED DATA = MBHC.SAMPLE;
CLASS ID SEQ PERIOD FORMULATION;
MODEL LNAUC =SEQ PERIOD FORMULATION/ DDFM = SATTERTH ;
RANDOM FORMULATION/TYPE = FA0(2) SUB = ID;
REPEATED/GRP = FORMULATION SUB = ID;
ESTIMATE "T VS. R" FORMULATION 1 -1/CL ALPHA = 0.1;
RUN;


/* using GLM*/

PROC GLM DATA=MBHC.SAMPLE ;

   CLASS ID SEQ PERIOD FORMULATION  ;
   MODEL LNAUC =SEQ PERIOD FORMULATION;

RUN ;&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Output I want:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Capture.PNG" style="width: 600px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/30632iF7654EFDE6BDFB42/image-size/large?v=v2&amp;amp;px=999" role="button" title="Capture.PNG" alt="Capture.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;Thank you.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Fri, 28 Jun 2019 15:34:16 GMT</pubDate>
    <dc:creator>superbibi</dc:creator>
    <dc:date>2019-06-28T15:34:16Z</dc:date>
    <item>
      <title>PROC GLM OR PROC MIX FOR BIOEQUIVALENCE STUDY</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLM-OR-PROC-MIX-FOR-BIOEQUIVALENCE-STUDY/m-p/569778#M28040</link>
      <description>&lt;P&gt;Hi SAS Users,&lt;/P&gt;&lt;P&gt;I need to test bioequivalent between two treatment. Bioequivalence is defined as 90% CI of the geometric mean ratio between treatment and reference lines within 0.8 and 1.25.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a sample data set that is from a guideline and I want to write the code which can generate the same outputs as the guideline.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I used the ID,&amp;nbsp; seq, period, AUCt data in Table A1-E and A1-F from the linked PDF. It should come up with the output on Table A1-H and A1-I.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A title="Conduct and Analysis of Comparative Bioavailability Studies " href="https://www.canada.ca/content/dam/hc-sc/documents/services/drugs-health-products/drug-products/applications-submissions/guidance-documents/bioavailability-bioequivalence/conduct-analysis-comparative.pdf" target="_self"&gt;https://www.canada.ca/content/dam/hc-sc/documents/services/drugs-health-products/drug-products/applications-submissions/guidance-documents/bioavailability-bioequivalence/conduct-analysis-comparative.pdf&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I also attached the sas data set here.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have tried several sets of code and cannot find the same outcome. Particularly the output on Table A1-I (parameter as subject(seq) and residual with their variance. How should I modify the code?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;/* using proc mixed*/

PROC MIXED DATA = MBHC.SAMPLE;
CLASS ID SEQ PERIOD FORMULATION;
MODEL LNAUC =SEQ PERIOD FORMULATION/ DDFM = SATTERTH ;
RANDOM FORMULATION/TYPE = FA0(2) SUB = ID;
REPEATED/GRP = FORMULATION SUB = ID;
ESTIMATE "T VS. R" FORMULATION 1 -1/CL ALPHA = 0.1;
RUN;


/* using GLM*/

PROC GLM DATA=MBHC.SAMPLE ;

   CLASS ID SEQ PERIOD FORMULATION  ;
   MODEL LNAUC =SEQ PERIOD FORMULATION;

RUN ;&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Output I want:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Capture.PNG" style="width: 600px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/30632iF7654EFDE6BDFB42/image-size/large?v=v2&amp;amp;px=999" role="button" title="Capture.PNG" alt="Capture.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;Thank you.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 28 Jun 2019 15:34:16 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLM-OR-PROC-MIX-FOR-BIOEQUIVALENCE-STUDY/m-p/569778#M28040</guid>
      <dc:creator>superbibi</dc:creator>
      <dc:date>2019-06-28T15:34:16Z</dc:date>
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