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    <title>topic Re: Bias and Variance in Logistic Regression in SAS in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Bias-and-Variance-in-Logistic-Regression-in-SAS/m-p/601208#M29241</link>
    <description>Can anyone help me on this</description>
    <pubDate>Sun, 03 Nov 2019 07:21:56 GMT</pubDate>
    <dc:creator>aranganayagi</dc:creator>
    <dc:date>2019-11-03T07:21:56Z</dc:date>
    <item>
      <title>Bias and Variance in Logistic Regression in SAS</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Bias-and-Variance-in-Logistic-Regression-in-SAS/m-p/601159#M29238</link>
      <description>&lt;P&gt;HI, How do I check built Logistic regression model is suffering with BIAS or Variance.&lt;/P&gt;&lt;P&gt;I learnt about c-statistics, H-L Goodness -of-Fit Statistics, they all say how well the model is fit. But how can I interpret that the built model will perform better in unseen data. Please help to understand. Really struggling to get answer to this.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 02 Nov 2019 17:54:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Bias-and-Variance-in-Logistic-Regression-in-SAS/m-p/601159#M29238</guid>
      <dc:creator>aranganayagi</dc:creator>
      <dc:date>2019-11-02T17:54:57Z</dc:date>
    </item>
    <item>
      <title>Re: Bias and Variance in Logistic Regression in SAS</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Bias-and-Variance-in-Logistic-Regression-in-SAS/m-p/601208#M29241</link>
      <description>Can anyone help me on this</description>
      <pubDate>Sun, 03 Nov 2019 07:21:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Bias-and-Variance-in-Logistic-Regression-in-SAS/m-p/601208#M29241</guid>
      <dc:creator>aranganayagi</dc:creator>
      <dc:date>2019-11-03T07:21:56Z</dc:date>
    </item>
    <item>
      <title>Re: Bias and Variance in Logistic Regression in SAS</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Bias-and-Variance-in-Logistic-Regression-in-SAS/m-p/601220#M29242</link>
      <description>&lt;P&gt;I don't understand your Q well.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;1) if you want know if model is robust ,&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can use train data and test data to check model . or&lt;/P&gt;
&lt;P&gt;n-fold cross validate method( split your data into ten group, using 9 of 10 to build model and 1 of 10 to test, and again using another 9 of 10 to build model and 1 of 10 to test , over and over again for ten times).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;2)if you want know if data is over disperse. try&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc logistic......&lt;/P&gt;
&lt;P&gt;model ..../scale=none aggregate ;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;3) if your train data is sample from a big table . you need&amp;nbsp;&lt;/P&gt;
&lt;P&gt;model ............./ offset=&amp;nbsp;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;to adjust your predict probability .&lt;/P&gt;</description>
      <pubDate>Sun, 03 Nov 2019 11:57:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Bias-and-Variance-in-Logistic-Regression-in-SAS/m-p/601220#M29242</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2019-11-03T11:57:10Z</dc:date>
    </item>
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