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    <title>topic Segmented Regression Analysis in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Segmented-Regression-Analysis/m-p/150696#M7938</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I have the rate of tests performed by month over a time period, and I want to determine if the increase in rate of tests run after an intervention is statistically significant.&amp;nbsp; Our hypothesis is that the rate of test will increase after the intervention.&amp;nbsp; We are thinking that a segmented Poisson regression would be appropriate here, but are not positive.&amp;nbsp; Would another type of analysis be more appropriate?&amp;nbsp; Any thoughts and suggestions would be very much appreciated.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 18 Sep 2014 16:11:26 GMT</pubDate>
    <dc:creator>brousseg</dc:creator>
    <dc:date>2014-09-18T16:11:26Z</dc:date>
    <item>
      <title>Segmented Regression Analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Segmented-Regression-Analysis/m-p/150696#M7938</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I have the rate of tests performed by month over a time period, and I want to determine if the increase in rate of tests run after an intervention is statistically significant.&amp;nbsp; Our hypothesis is that the rate of test will increase after the intervention.&amp;nbsp; We are thinking that a segmented Poisson regression would be appropriate here, but are not positive.&amp;nbsp; Would another type of analysis be more appropriate?&amp;nbsp; Any thoughts and suggestions would be very much appreciated.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 18 Sep 2014 16:11:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Segmented-Regression-Analysis/m-p/150696#M7938</guid>
      <dc:creator>brousseg</dc:creator>
      <dc:date>2014-09-18T16:11:26Z</dc:date>
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    <item>
      <title>Re: Segmented Regression Analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Segmented-Regression-Analysis/m-p/150697#M7939</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;It is impossible to determine if a model is adequate without knowing what it is about. But whatever model you choose, make sure that:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;1) It includes an overall time trend, so that you don't confuse the effect of an intervention (before/after) with a simple unrelated time trend.&lt;/P&gt;&lt;P&gt;2) It accounts for overdispersion. Most counting processes in the real world are not pure Poisson processes. Assuming they are leads to false conclusions.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;PG&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 18 Sep 2014 18:15:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Segmented-Regression-Analysis/m-p/150697#M7939</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2014-09-18T18:15:57Z</dc:date>
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