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    <title>topic Repeated Measures in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Repeated-Measures/m-p/26063#M5948</link>
    <description>Hello. I want to see the relationship between an outcome variable dose measured six time on every subject.&lt;BR /&gt;
interval time are unequally spaced: every subject has differente time points... example: subject n°1 has the second visit after 3 days and the third after 6 days and subject n°2 has the second visit after 8 days and the third after 2 ecc...&lt;BR /&gt;
the dataset is like this&lt;BR /&gt;
ID genotype_CYP2C9 eta sex date_1 dose_1 date_2 dose_2... date_6 dose_6&lt;BR /&gt;
1          N/N               64   M    28/02/08  34     31/03/08   24      25/09/09 13&lt;BR /&gt;
2          N/2               78    F    13/08/08  23     21/09/08    12     26/12/09  12&lt;BR /&gt;
3          N/3               65    F     ecc&lt;BR /&gt;
4          N/N               68    M   ecc&lt;BR /&gt;
...&lt;BR /&gt;
what model i have to use?&lt;BR /&gt;
proc mixed? proc genmod?&lt;BR /&gt;
Iwant to see if dose changes over time and if there is a relation between genotype CYP2C9 and the dose of medicine.&lt;BR /&gt;
thank you</description>
    <pubDate>Mon, 01 Nov 2010 16:36:13 GMT</pubDate>
    <dc:creator>deleted_user</dc:creator>
    <dc:date>2010-11-01T16:36:13Z</dc:date>
    <item>
      <title>Repeated Measures</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Repeated-Measures/m-p/26063#M5948</link>
      <description>Hello. I want to see the relationship between an outcome variable dose measured six time on every subject.&lt;BR /&gt;
interval time are unequally spaced: every subject has differente time points... example: subject n°1 has the second visit after 3 days and the third after 6 days and subject n°2 has the second visit after 8 days and the third after 2 ecc...&lt;BR /&gt;
the dataset is like this&lt;BR /&gt;
ID genotype_CYP2C9 eta sex date_1 dose_1 date_2 dose_2... date_6 dose_6&lt;BR /&gt;
1          N/N               64   M    28/02/08  34     31/03/08   24      25/09/09 13&lt;BR /&gt;
2          N/2               78    F    13/08/08  23     21/09/08    12     26/12/09  12&lt;BR /&gt;
3          N/3               65    F     ecc&lt;BR /&gt;
4          N/N               68    M   ecc&lt;BR /&gt;
...&lt;BR /&gt;
what model i have to use?&lt;BR /&gt;
proc mixed? proc genmod?&lt;BR /&gt;
Iwant to see if dose changes over time and if there is a relation between genotype CYP2C9 and the dose of medicine.&lt;BR /&gt;
thank you</description>
      <pubDate>Mon, 01 Nov 2010 16:36:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Repeated-Measures/m-p/26063#M5948</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2010-11-01T16:36:13Z</dc:date>
    </item>
    <item>
      <title>Re: Repeated Measures</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Repeated-Measures/m-p/26064#M5949</link>
      <description>Hello, &lt;BR /&gt;
&lt;BR /&gt;
What distribution is the outcome variable? If it's normal then you can use Proc Mixed.&lt;BR /&gt;
&lt;BR /&gt;
Many thanks,&lt;BR /&gt;
&lt;BR /&gt;
Kriss</description>
      <pubDate>Wed, 03 Nov 2010 14:23:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Repeated-Measures/m-p/26064#M5949</guid>
      <dc:creator>Risks</dc:creator>
      <dc:date>2010-11-03T14:23:28Z</dc:date>
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