<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Trend analysis for non-longitudinal data in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Trend-analysis-for-non-longitudinal-data/m-p/741135#M36017</link>
    <description>&lt;P&gt;Hi everyone,&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have three year data with the same measurements per observation, and there are 4000-6000 observations in the data set of each year. The three-year data is not longitudinal as there are only five observations that are in the data of all the three years. Is it possible to run any trend analysis this case (rather than simple description)? The sample looks like below:&lt;/P&gt;
&lt;TABLE width="332"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD width="83"&gt;Year&lt;/TD&gt;
&lt;TD width="83"&gt;Year1&lt;/TD&gt;
&lt;TD width="83"&gt;Year2&lt;/TD&gt;
&lt;TD width="83"&gt;Year3&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD&gt;N&lt;/TD&gt;
&lt;TD&gt;6,000&lt;/TD&gt;
&lt;TD&gt;4,000&lt;/TD&gt;
&lt;TD&gt;5,000&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;TABLE width="332"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD width="83"&gt;flag_Year1&lt;/TD&gt;
&lt;TD width="83"&gt;flag_Year2&lt;/TD&gt;
&lt;TD width="83"&gt;flag_Year3&lt;/TD&gt;
&lt;TD width="83"&gt;N&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;0&lt;/TD&gt;
&lt;TD&gt;0&lt;/TD&gt;
&lt;TD&gt;3,000&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;0&lt;/TD&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;1,500&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;0&lt;/TD&gt;
&lt;TD&gt;1,495&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; 5&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thank you!&lt;/P&gt;
&lt;P&gt;Lizi&lt;/P&gt;</description>
    <pubDate>Thu, 13 May 2021 14:44:39 GMT</pubDate>
    <dc:creator>lizzy28</dc:creator>
    <dc:date>2021-05-13T14:44:39Z</dc:date>
    <item>
      <title>Trend analysis for non-longitudinal data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Trend-analysis-for-non-longitudinal-data/m-p/741135#M36017</link>
      <description>&lt;P&gt;Hi everyone,&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have three year data with the same measurements per observation, and there are 4000-6000 observations in the data set of each year. The three-year data is not longitudinal as there are only five observations that are in the data of all the three years. Is it possible to run any trend analysis this case (rather than simple description)? The sample looks like below:&lt;/P&gt;
&lt;TABLE width="332"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD width="83"&gt;Year&lt;/TD&gt;
&lt;TD width="83"&gt;Year1&lt;/TD&gt;
&lt;TD width="83"&gt;Year2&lt;/TD&gt;
&lt;TD width="83"&gt;Year3&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD&gt;N&lt;/TD&gt;
&lt;TD&gt;6,000&lt;/TD&gt;
&lt;TD&gt;4,000&lt;/TD&gt;
&lt;TD&gt;5,000&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;TABLE width="332"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD width="83"&gt;flag_Year1&lt;/TD&gt;
&lt;TD width="83"&gt;flag_Year2&lt;/TD&gt;
&lt;TD width="83"&gt;flag_Year3&lt;/TD&gt;
&lt;TD width="83"&gt;N&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;0&lt;/TD&gt;
&lt;TD&gt;0&lt;/TD&gt;
&lt;TD&gt;3,000&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;0&lt;/TD&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;1,500&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;0&lt;/TD&gt;
&lt;TD&gt;1,495&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;1&lt;/TD&gt;
&lt;TD&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; 5&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thank you!&lt;/P&gt;
&lt;P&gt;Lizi&lt;/P&gt;</description>
      <pubDate>Thu, 13 May 2021 14:44:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Trend-analysis-for-non-longitudinal-data/m-p/741135#M36017</guid>
      <dc:creator>lizzy28</dc:creator>
      <dc:date>2021-05-13T14:44:39Z</dc:date>
    </item>
    <item>
      <title>Re: Trend analysis for non-longitudinal data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Trend-analysis-for-non-longitudinal-data/m-p/741786#M36072</link>
      <description>&lt;P&gt;The simple answer is just to make year (or time) a continuous independent variable.&amp;nbsp; You can code year as 1, 2 or 3.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc reg; model outcome = year; run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;This will give you a slope for the trend across time.&lt;/P&gt;</description>
      <pubDate>Sun, 16 May 2021 22:14:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Trend-analysis-for-non-longitudinal-data/m-p/741786#M36072</guid>
      <dc:creator>jk123xyz</dc:creator>
      <dc:date>2021-05-16T22:14:11Z</dc:date>
    </item>
  </channel>
</rss>

