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    <title>topic Comparing a single observation to a larger sample, or when a group only has one observation in SAS Health and Life Sciences</title>
    <link>https://communities.sas.com/t5/SAS-Health-and-Life-Sciences/Comparing-a-single-observation-to-a-larger-sample-or-when-a/m-p/135236#M1878</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello All,&lt;/P&gt;&lt;P&gt;I am a bit stuck here. I am tasked with comparing hospital sales numbers. On the one hand, I have a single account, where a specific project has been conducted (the &lt;EM&gt;affected hospital&lt;/EM&gt;), which is to be compared to the others, non-affected accounts (the &lt;EM&gt;control hospitals&lt;/EM&gt;), to see if there has been any statistically significant change in the sales following the implementation of the project, and if the account stands out from the others, in average. I guess I am looking for something more 'powerful' than just a boxplot and outliers/extreme values definition.&lt;/P&gt;&lt;P&gt;It was OK previously when a group of hospitals were affected altogether by the project, so I could perform a t-test, but now, there is only one account in my affected sample (and &amp;gt;100 in the second, control sample).&lt;/P&gt;&lt;P&gt;I take it that I cannot perform a Student's t-test, but an elementary search has returned some results around a Levene's t-test, that could be able to do that (a slight variation from the test for homoscedasticity), but I can't find any proc in SAS to do so.&lt;/P&gt;&lt;P&gt;Any ideas please ??&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Best regards&lt;/P&gt;&lt;P&gt;A&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 24 Jul 2014 14:10:26 GMT</pubDate>
    <dc:creator>one2three4</dc:creator>
    <dc:date>2014-07-24T14:10:26Z</dc:date>
    <item>
      <title>Comparing a single observation to a larger sample, or when a group only has one observation</title>
      <link>https://communities.sas.com/t5/SAS-Health-and-Life-Sciences/Comparing-a-single-observation-to-a-larger-sample-or-when-a/m-p/135236#M1878</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello All,&lt;/P&gt;&lt;P&gt;I am a bit stuck here. I am tasked with comparing hospital sales numbers. On the one hand, I have a single account, where a specific project has been conducted (the &lt;EM&gt;affected hospital&lt;/EM&gt;), which is to be compared to the others, non-affected accounts (the &lt;EM&gt;control hospitals&lt;/EM&gt;), to see if there has been any statistically significant change in the sales following the implementation of the project, and if the account stands out from the others, in average. I guess I am looking for something more 'powerful' than just a boxplot and outliers/extreme values definition.&lt;/P&gt;&lt;P&gt;It was OK previously when a group of hospitals were affected altogether by the project, so I could perform a t-test, but now, there is only one account in my affected sample (and &amp;gt;100 in the second, control sample).&lt;/P&gt;&lt;P&gt;I take it that I cannot perform a Student's t-test, but an elementary search has returned some results around a Levene's t-test, that could be able to do that (a slight variation from the test for homoscedasticity), but I can't find any proc in SAS to do so.&lt;/P&gt;&lt;P&gt;Any ideas please ??&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Best regards&lt;/P&gt;&lt;P&gt;A&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 24 Jul 2014 14:10:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Health-and-Life-Sciences/Comparing-a-single-observation-to-a-larger-sample-or-when-a/m-p/135236#M1878</guid>
      <dc:creator>one2three4</dc:creator>
      <dc:date>2014-07-24T14:10:26Z</dc:date>
    </item>
    <item>
      <title>Re: Comparing a single observation to a larger sample, or when a group only has one observation</title>
      <link>https://communities.sas.com/t5/SAS-Health-and-Life-Sciences/Comparing-a-single-observation-to-a-larger-sample-or-when-a/m-p/135237#M1879</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Why not use something simple and robust like:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;proc npar1way data=test wilcoxon;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;exact;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;class affected;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;var sales;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;run;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;and look at the one-sided exact test results.&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, 24 Jul 2014 14:49:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Health-and-Life-Sciences/Comparing-a-single-observation-to-a-larger-sample-or-when-a/m-p/135237#M1879</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2014-07-24T14:49:03Z</dc:date>
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