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    <title>topic Re: Repeated input measures, categorical outcome in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Repeated-input-measures-categorical-outcome/m-p/867615#M42891</link>
    <description>&lt;P&gt;Most likely either PROC GLIMMIX or PROC GEE. Use GLIMMIX if you want to fit a subject-specific, random effects logistic model for making inferences or predictions at the individual level. Use GEE to fit a population-averaged, generalized estimating equations logistic model for making inferences at the population level. Yet another possibility is a conditional logistic model using stratification available in PROC LOGISTIC (also a subject-specific model). You can find examples of all in the respective procedure documentation.&lt;/P&gt;</description>
    <pubDate>Sat, 01 Apr 2023 16:47:15 GMT</pubDate>
    <dc:creator>StatDave</dc:creator>
    <dc:date>2023-04-01T16:47:15Z</dc:date>
    <item>
      <title>Repeated input measures, categorical outcome</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Repeated-input-measures-categorical-outcome/m-p/867599#M42890</link>
      <description>&lt;P&gt;I am looking to do an exposure response analysis. &amp;nbsp;The drug exposure readings are collected at weeks 0, 5, 10, 15, 20, 25, 30. &amp;nbsp;I want to relate this to binary outcomes (eg cardiovascular event yes_no). &amp;nbsp;What would be the best way to analyse this - proc glimmix? &amp;nbsp;Any help greatly appreciated.&lt;/P&gt;</description>
      <pubDate>Sat, 01 Apr 2023 02:24:16 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Repeated-input-measures-categorical-outcome/m-p/867599#M42890</guid>
      <dc:creator>Novice_user</dc:creator>
      <dc:date>2023-04-01T02:24:16Z</dc:date>
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    <item>
      <title>Re: Repeated input measures, categorical outcome</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Repeated-input-measures-categorical-outcome/m-p/867615#M42891</link>
      <description>&lt;P&gt;Most likely either PROC GLIMMIX or PROC GEE. Use GLIMMIX if you want to fit a subject-specific, random effects logistic model for making inferences or predictions at the individual level. Use GEE to fit a population-averaged, generalized estimating equations logistic model for making inferences at the population level. Yet another possibility is a conditional logistic model using stratification available in PROC LOGISTIC (also a subject-specific model). You can find examples of all in the respective procedure documentation.&lt;/P&gt;</description>
      <pubDate>Sat, 01 Apr 2023 16:47:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Repeated-input-measures-categorical-outcome/m-p/867615#M42891</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2023-04-01T16:47:15Z</dc:date>
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