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    <title>topic Re: Using a variable in NIS database in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78814#M22729</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;sorry, I got my numbers confused. I was looking a the distribution of the frequencies of total_disc, which obviously is not the same as total_&lt;SPAN style="font-size: 10pt; line-height: 1.5em;"&gt;disc.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;But you get my idea, so let me know if the ORs look better once you've grouped the variable.(possibly in quartiles,or quintiles)&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Sat, 16 Mar 2013 02:58:06 GMT</pubDate>
    <dc:creator>AncaTilea</dc:creator>
    <dc:date>2013-03-16T02:58:06Z</dc:date>
    <item>
      <title>Using a variable in NIS database</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78809#M22724</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;SPAN style="color: #0000ff; font-family: calibri, verdana, arial, sans-serif; font-size: 12pt;"&gt;Has anyone here used NIS database for analyses? which gives the information about numbers of discharges from each hospital. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #0000ff; font-family: calibri, verdana, arial, sans-serif; font-size: 12pt;"&gt;I am trying to run a regression model and using a variable called &lt;STRONG style="background-color: yellow; background-repeat: initial initial; background-position: initial initial;"&gt;TOTAL_DISC,&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #373bf1; font-family: Andalus, serif; font-size: 10pt; line-height: 1.5em;"&gt;I want to use it to indicate the hospital volume in my analyses; but I am facing some issue with it. No matter what independent variables I include in my regression model along with this one, the results always shows as 1.00 as the value for point estimate and the LCL and UCL, as highlighted below. I am not sure why i am getting these results and&lt;/SPAN&gt;&lt;SPAN style="color: #373bf1; font-family: Andalus, serif; font-size: 10pt; line-height: 1.5em;"&gt; cannot interpret the Odds ratio value and LCL/UCL for this variable.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: Andalus, serif; color: #373bf1;"&gt;Appreciate if anyone who has nay clue, could provide some guidance in this regard and advise if there is any other way to use this variable and get comprehensible result values or if there is anything I am doing incorrectly.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: Andalus, serif; color: #373bf1;"&gt;Below is the table, with the value highlighted..&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;TABLE border="0" cellpadding="0" cellspacing="0" style="width: 256px;"&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;" width="64"&gt;Effect&lt;/TD&gt;&lt;TD style="padding-bottom: 2.25pt; padding-top: 2.25pt;" width="64"&gt;Point Estimate&lt;/TD&gt;&lt;TD colspan="2" style="padding-bottom: 2.25pt; padding-top: 2.25pt;" width="128"&gt;95% Wald&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD colspan="2"&gt;Confidence Limits&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;AGE&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.011&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.01&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.013&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;FEMALE 1 vs 0&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.784&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.709&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.862&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;race1 2 vs 1&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.095&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.012&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.184&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;race1 3 vs 1&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.151&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.061&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.249&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;race1 4 vs 1&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.875&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.748&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.025&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;race1 5 vs 1&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.13&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.025&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.246&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;ZIPINC_QRTL 2 vs 1&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.985&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.929&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.045&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;ZIPINC_QRTL 3 vs 1&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.055&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.994&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.119&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;ZIPINC_QRTL 4 vs 1&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.198&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.127&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.274&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;HOSP_LOCATION 0 vs 1&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.97&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.882&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.067&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;H_CONTRL 2 vs 1&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.078&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.994&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.169&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;H_CONTRL 3 vs 1&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.892&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.809&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.983&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;HOSP_TEACH 1 vs 0&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.108&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.058&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.161&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;&lt;SPAN style="text-decoration: underline;"&gt;&lt;STRONG style="color: #ff0000; text-decoration: underline;"&gt;TOTAL_DISC&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;&lt;SPAN style="text-decoration: underline;"&gt;&lt;STRONG style="color: #ff0000; text-decoration: underline;"&gt;1.00&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;&lt;SPAN style="text-decoration: underline;"&gt;&lt;STRONG style="color: #ff0000; text-decoration: underline;"&gt;1.00&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;&lt;SPAN style="text-decoration: underline;"&gt;&lt;STRONG style="color: #ff0000; text-decoration: underline;"&gt;1.00&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;dm_all 1 vs 0&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.791&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.754&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.83&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;CM_HTN_C 1 vs 0&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.837&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.8&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.875&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;morbidobesity 1 vs 0&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.906&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.796&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.031&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;hyperlipidemia 1 vs 0&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.812&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.778&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;0.848&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;CM_PERIVASC 1 vs 0&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;2.554&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;2.421&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;2.694&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="20" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;CHF 1 vs 0&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;2.142&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;1.636&lt;/TD&gt;&lt;TD align="right" style="padding-bottom: 2.25pt; padding-top: 2.25pt;"&gt;2.804&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 15 Mar 2013 19:15:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78809#M22724</guid>
      <dc:creator>Ashwini_uci</dc:creator>
      <dc:date>2013-03-15T19:15:34Z</dc:date>
    </item>
    <item>
      <title>Re: Using a variable in NIS database</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78810#M22725</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi.&lt;/P&gt;&lt;P&gt;From the HCUP website I see that total_disc takes u&lt;A name="values"&gt;niform values&lt;/A&gt;&amp;nbsp;&amp;nbsp; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;TABLE border="1"&gt;&lt;TBODY&gt;&lt;TR class="pagetext"&gt;&lt;TD width="15%"&gt;&lt;STRONG&gt;Variable&lt;/STRONG&gt;&lt;/TD&gt;&lt;TD width="20%"&gt;&lt;STRONG&gt;Description&lt;/STRONG&gt;&lt;/TD&gt;&lt;TD width="15%"&gt;&lt;STRONG&gt;Value&lt;/STRONG&gt;&lt;/TD&gt;&lt;TD width="50%"&gt;&lt;STRONG&gt;Value Description&lt;/STRONG&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR class="pagetext"&gt;&lt;TD rowspan="1"&gt;TOTAL_DISC&lt;/TD&gt;&lt;TD rowspan="1"&gt;Total hospital discharges&lt;/TD&gt;&lt;TD&gt;5(n)&lt;/TD&gt;&lt;TD&gt;Total hospital discharges&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;What is the distribution of total_disc? Maybe in your sample you have exactly the same #s in each 'group' of total_disc (what I mean is that maybe there is an equal # of total_disc = 1, total_disc = 2...so on...).&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;img id="smileyhappy" class="emoticon emoticon-smileyhappy" src="https://communities.sas.com/i/smilies/16x16_smiley-happy.png" alt="Smiley Happy" title="Smiley Happy" /&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 15 Mar 2013 20:56:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78810#M22725</guid>
      <dc:creator>AncaTilea</dc:creator>
      <dc:date>2013-03-15T20:56:26Z</dc:date>
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    <item>
      <title>Re: Using a variable in NIS database</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78811#M22726</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks for your response!&lt;/P&gt;&lt;P&gt;No, they are not the uniform values.&lt;/P&gt;&lt;P&gt;Please take a look at the results of proc freq and proc univariate attached to the original post.&lt;/P&gt;&lt;P&gt;Let me know what you think.&lt;/P&gt;&lt;P&gt;Thanks much!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 15 Mar 2013 21:15:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78811#M22726</guid>
      <dc:creator>Ashwini_uci</dc:creator>
      <dc:date>2013-03-15T21:15:15Z</dc:date>
    </item>
    <item>
      <title>Re: Using a variable in NIS database</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78812#M22727</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Ok, so giving the distribution of total_disc you have ~ 65% of the data with less than 100 discharges, but the max is 1522(discharges)&lt;/P&gt;&lt;P&gt;Ok, so if you look at the histogram of total_disc you notice that it is not only highly skewed, but it also has a high kurtosis.So, I wonder if you would categorize the total_disc into say 5 or 6 groups, like&lt;/P&gt;&lt;P&gt;0 to 25, 25 to 50, 50 to 75, 75 to 100, then &amp;gt; 100...or&amp;nbsp; 100 to 125...and &amp;gt; 125&lt;/P&gt;&lt;P&gt;Anyway, my point it to sort of create groups such that any total_disc &amp;gt; some cutt-of point (between 100 and 200) gets lumped into one group.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Do you know what I mean?&lt;/P&gt;&lt;BR /&gt;&lt;IMG src="https://communities.sas.com/t5/image/serverpage/image-id/10984i97B9AF7AEFC0EB59/image-size/large?v=1.0&amp;amp;px=600" border="0" alt="distribution.png" title="distribution.png" /&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 15 Mar 2013 21:54:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78812#M22727</guid>
      <dc:creator>AncaTilea</dc:creator>
      <dc:date>2013-03-15T21:54:01Z</dc:date>
    </item>
    <item>
      <title>Re: Using a variable in NIS database</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78813#M22728</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Anca,&lt;/P&gt;&lt;P&gt;I see what you are saying, yes i would be a good idea to categorize them. But I am not sure where you see that 65% of the data is with &amp;lt;100 discharges and max is 1522. &lt;SPAN style="font-size: 10pt; line-height: 1.5em;"&gt;Where do you see those numbers? I&lt;/SPAN&gt;&lt;SPAN style="font-size: 10pt; line-height: 1.5em;"&gt;n fact what i see that 75% of the data shows discharges upto 27408.&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 15 Mar 2013 22:22:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78813#M22728</guid>
      <dc:creator>Ashwini_uci</dc:creator>
      <dc:date>2013-03-15T22:22:07Z</dc:date>
    </item>
    <item>
      <title>Re: Using a variable in NIS database</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78814#M22729</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;sorry, I got my numbers confused. I was looking a the distribution of the frequencies of total_disc, which obviously is not the same as total_&lt;SPAN style="font-size: 10pt; line-height: 1.5em;"&gt;disc.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;But you get my idea, so let me know if the ORs look better once you've grouped the variable.(possibly in quartiles,or quintiles)&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sat, 16 Mar 2013 02:58:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Using-a-variable-in-NIS-database/m-p/78814#M22729</guid>
      <dc:creator>AncaTilea</dc:creator>
      <dc:date>2013-03-16T02:58:06Z</dc:date>
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