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    <title>topic Re: What procedure would best fit my longitudinal data? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/What-procedure-would-best-fit-my-longitudinal-data/m-p/574939#M28248</link>
    <description>&lt;P&gt;If you are in Pharmacy field , try PROC GLIMMIX or PROC MIXED for longitual data .&lt;/P&gt;</description>
    <pubDate>Fri, 19 Jul 2019 13:31:09 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2019-07-19T13:31:09Z</dc:date>
    <item>
      <title>What procedure would best fit my longitudinal data?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/What-procedure-would-best-fit-my-longitudinal-data/m-p/574569#M28235</link>
      <description>&lt;P&gt;Hi everybody&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I want to thank you in advance for reading my post! ....and I hope my question is appropriate!&lt;/P&gt;&lt;P&gt;I am in a bit of a pickle!&lt;/P&gt;&lt;P&gt;I have been conducting a longitudinal study for my PhD. I followed children born 2010 and 2011 for three years collecting data on various symptoms, such as ADHD, externalizing behavior problems, emotion dysregulation etc. I started my data collection when the children where finishing their last year at preschool and ended my data collection when they finished 2nd grade in elementary school. I used both online questionnaires which parents and teachers answered about the children and also diagnostic interview I administered to parents of children who where reported above the cut-off score on any of the online questionnaires.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Now I want to explore if emotion dysregulation at time 1 is predicting behavior problems at time 3. What do you think is appropriate analysis for that - I have been looking at, for example, Latent Growth Model, Partial Least Squares, Discriminant Analysis Functioning. Should I be looking at something else and should I focus on linear models or non-linear models?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you for reading my looooong post!&lt;/P&gt;</description>
      <pubDate>Thu, 18 Jul 2019 13:52:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/What-procedure-would-best-fit-my-longitudinal-data/m-p/574569#M28235</guid>
      <dc:creator>Marion83</dc:creator>
      <dc:date>2019-07-18T13:52:02Z</dc:date>
    </item>
    <item>
      <title>Re: What procedure would best fit my longitudinal data?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/What-procedure-would-best-fit-my-longitudinal-data/m-p/574939#M28248</link>
      <description>&lt;P&gt;If you are in Pharmacy field , try PROC GLIMMIX or PROC MIXED for longitual data .&lt;/P&gt;</description>
      <pubDate>Fri, 19 Jul 2019 13:31:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/What-procedure-would-best-fit-my-longitudinal-data/m-p/574939#M28248</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2019-07-19T13:31:09Z</dc:date>
    </item>
    <item>
      <title>Re: What procedure would best fit my longitudinal data?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/What-procedure-would-best-fit-my-longitudinal-data/m-p/574950#M28249</link>
      <description>Thank you very much - I will look into that &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt;</description>
      <pubDate>Fri, 19 Jul 2019 14:05:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/What-procedure-would-best-fit-my-longitudinal-data/m-p/574950#M28249</guid>
      <dc:creator>Marion83</dc:creator>
      <dc:date>2019-07-19T14:05:06Z</dc:date>
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