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    <title>topic Re: Longitudinal analysis with different start time and time intervals in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-analysis-with-different-start-time-and-time/m-p/978891#M49075</link>
    <description>Or you could try GEE model which could handle these missing value very well.&lt;BR /&gt;PROC GEE&lt;BR /&gt;or&lt;BR /&gt;PROC GENMOD</description>
    <pubDate>Sat, 15 Nov 2025 03:38:03 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2025-11-15T03:38:03Z</dc:date>
    <item>
      <title>Longitudinal analysis with different start time and time intervals</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-analysis-with-different-start-time-and-time/m-p/978876#M49073</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp; I have a few questions about&amp;nbsp;longitudinal analysis with different start time and time intervals.&lt;/P&gt;&lt;P&gt;In my study, I have six time points where BMI is measured in two groups of participants:&lt;/P&gt;&lt;P&gt;Time1: Beginning of school year 1.&lt;/P&gt;&lt;P&gt;Time2: End of school year 1.&lt;/P&gt;&lt;P&gt;Time3: Beginning of school year 2.&lt;/P&gt;&lt;P&gt;Time4: End of school year 2.&lt;/P&gt;&lt;P&gt;Time5: Beginning of school year 3.&lt;/P&gt;&lt;P&gt;Time6: End of school year 3.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;There is summer break between each end of school year and beginning of next school year (eg. Summer break between time 2 and time 3). Currently, I used mixed model and only included participants who completed all six timepoint:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc mixed data=data method=ML;&lt;/P&gt;&lt;P&gt;class id time(ref="1") &amp;nbsp;group(ref="1") &amp;nbsp;;&lt;/P&gt;&lt;P&gt;model bmi =&amp;nbsp; time group time*group/ s outp=predicted residual;&lt;/P&gt;&lt;P&gt;repeated time/type=un subject=id&amp;nbsp; ;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;As the study continues with more time add down the road, I want to expand my sample by including 1) participants with different start point, such as including people who only start at time 3; and 2) people who miss one school year in between, such as people who participate in school year 1 and 3, but miss school year 2.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Do you have any tips on how to modify the model?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;&lt;P&gt;SY&lt;/P&gt;</description>
      <pubDate>Fri, 14 Nov 2025 19:09:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-analysis-with-different-start-time-and-time/m-p/978876#M49073</guid>
      <dc:creator>sy2426</dc:creator>
      <dc:date>2025-11-14T19:09:44Z</dc:date>
    </item>
    <item>
      <title>Re: Longitudinal analysis with different start time and time intervals</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-analysis-with-different-start-time-and-time/m-p/978890#M49074</link>
      <description>It is very likely you want to impute some missing value.&lt;BR /&gt;You could check PROC MI + PROC MIANALYZE &lt;BR /&gt;&lt;BR /&gt;&lt;A href="https://blogs.sas.com/content/iml/2020/12/02/score-external-logistic-model.html" target="_blank"&gt;https://blogs.sas.com/content/iml/2020/12/02/score-external-logistic-model.html&lt;/A&gt;</description>
      <pubDate>Sat, 15 Nov 2025 03:31:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-analysis-with-different-start-time-and-time/m-p/978890#M49074</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2025-11-15T03:31:24Z</dc:date>
    </item>
    <item>
      <title>Re: Longitudinal analysis with different start time and time intervals</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-analysis-with-different-start-time-and-time/m-p/978891#M49075</link>
      <description>Or you could try GEE model which could handle these missing value very well.&lt;BR /&gt;PROC GEE&lt;BR /&gt;or&lt;BR /&gt;PROC GENMOD</description>
      <pubDate>Sat, 15 Nov 2025 03:38:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-analysis-with-different-start-time-and-time/m-p/978891#M49075</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2025-11-15T03:38:03Z</dc:date>
    </item>
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