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    <title>topic Re: How to treat NA given in the data set. in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/How-to-treat-NA-given-in-the-data-set/m-p/409221#M67156</link>
    <description>&lt;P&gt;I would think that would be a valid approach.&amp;nbsp; I personally don't know how to do that, but as I understand things some sort of model, like a regression, would work.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I would think one thing you would want to be careful about is drawing income conclusions based on data with a 20 percent imputation rate.&lt;/P&gt;</description>
    <pubDate>Tue, 31 Oct 2017 17:13:18 GMT</pubDate>
    <dc:creator>HB</dc:creator>
    <dc:date>2017-10-31T17:13:18Z</dc:date>
    <item>
      <title>How to treat NA given in the data set.</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-to-treat-NA-given-in-the-data-set/m-p/408477#M67124</link>
      <description>&lt;P&gt;HI,&lt;/P&gt;&lt;P&gt;I am leaning base SAS. I am modelling a logistic regression for credit cards and one of the variable has been given as the Monthly income for the people which has the value of NA as well. What should I do to treat them because their other demographic data is important and the total NA is 20% in monthly income.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards&amp;nbsp;&lt;/P&gt;&lt;P&gt;digamber&lt;/P&gt;</description>
      <pubDate>Mon, 30 Oct 2017 05:10:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-to-treat-NA-given-in-the-data-set/m-p/408477#M67124</guid>
      <dc:creator>digamber_gosain</dc:creator>
      <dc:date>2017-10-30T05:10:11Z</dc:date>
    </item>
    <item>
      <title>Re: How to treat NA given in the data set.</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-to-treat-NA-given-in-the-data-set/m-p/408791#M67132</link>
      <description>&lt;P&gt;If you don't want to drop those records, your best bet is probably to impute income data.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You could assign those with missing income the median or modal income. You could create a second model to estimate income based on the demographic factors you do have,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 30 Oct 2017 16:52:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-to-treat-NA-given-in-the-data-set/m-p/408791#M67132</guid>
      <dc:creator>HB</dc:creator>
      <dc:date>2017-10-30T16:52:28Z</dc:date>
    </item>
    <item>
      <title>Re: How to treat NA given in the data set.</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-to-treat-NA-given-in-the-data-set/m-p/408902#M67139</link>
      <description>The only way which I can think of creating linear regression to impute the&lt;BR /&gt;values. Will that be the right thing ?&lt;BR /&gt;</description>
      <pubDate>Mon, 30 Oct 2017 20:42:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-to-treat-NA-given-in-the-data-set/m-p/408902#M67139</guid>
      <dc:creator>digamber_gosain</dc:creator>
      <dc:date>2017-10-30T20:42:57Z</dc:date>
    </item>
    <item>
      <title>Re: How to treat NA given in the data set.</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-to-treat-NA-given-in-the-data-set/m-p/409221#M67156</link>
      <description>&lt;P&gt;I would think that would be a valid approach.&amp;nbsp; I personally don't know how to do that, but as I understand things some sort of model, like a regression, would work.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I would think one thing you would want to be careful about is drawing income conclusions based on data with a 20 percent imputation rate.&lt;/P&gt;</description>
      <pubDate>Tue, 31 Oct 2017 17:13:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-to-treat-NA-given-in-the-data-set/m-p/409221#M67156</guid>
      <dc:creator>HB</dc:creator>
      <dc:date>2017-10-31T17:13:18Z</dc:date>
    </item>
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