<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: How to compare predictive validity of two variables in multivariable model?? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/471036#M24512</link>
    <description>Thanks for the help! I didn't realize I needed two separate models. Now if I then wanted to determine if M1 and M2 are independently associated with the outcome, would I construct a new model containing both in order to test for independence?</description>
    <pubDate>Mon, 18 Jun 2018 11:59:50 GMT</pubDate>
    <dc:creator>iressa131</dc:creator>
    <dc:date>2018-06-18T11:59:50Z</dc:date>
    <item>
      <title>How to compare predictive validity of two variables in multivariable model??</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/470939#M24503</link>
      <description>&lt;DIV class="votecell post-layout--left"&gt;&lt;DIV class="vote"&gt;Hello,&lt;/DIV&gt;&lt;DIV class="vote"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV class="vote"&gt;I am looking to assess the predictive validity of two measures (M1 and M2) on a binary outcome. After constructing my model, do I just calculate odds ratios and compare the odds ratios for the two measures? I am not looking to assess the predictive value of the whole model just 2 specific predictors. Thanks for any clarification!&lt;/DIV&gt;&lt;/DIV&gt;&lt;DIV class="postcell post-layout--right"&gt;&amp;nbsp;&lt;/DIV&gt;</description>
      <pubDate>Sun, 17 Jun 2018 21:18:04 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/470939#M24503</guid>
      <dc:creator>iressa131</dc:creator>
      <dc:date>2018-06-17T21:18:04Z</dc:date>
    </item>
    <item>
      <title>Re: How to compare predictive validity of two variables in multivariable model??</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/470943#M24506</link>
      <description>&lt;P&gt;Compare the AIC for the two fits in the model fit statistics table. The model with the lower&amp;nbsp;AIC is better.&lt;/P&gt;</description>
      <pubDate>Sun, 17 Jun 2018 22:11:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/470943#M24506</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2018-06-17T22:11:44Z</dc:date>
    </item>
    <item>
      <title>Re: How to compare predictive validity of two variables in multivariable model??</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/470946#M24509</link>
      <description>&lt;P&gt;For logistic regression make sure to look at the confusion matrix and the AUC as well.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/192118"&gt;@iressa131&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;DIV class="votecell post-layout--left"&gt;
&lt;DIV class="vote"&gt;Hello,&lt;/DIV&gt;
&lt;DIV class="vote"&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV class="vote"&gt;I am looking to assess the predictive validity of two measures (M1 and M2) on a binary outcome. After constructing my model, do I just calculate odds ratios and compare the odds ratios for the two measures? I am not looking to assess the predictive value of the whole model just 2 specific predictors. Thanks for any clarification!&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;DIV class="postcell post-layout--right"&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 17 Jun 2018 23:53:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/470946#M24509</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2018-06-17T23:53:35Z</dc:date>
    </item>
    <item>
      <title>Re: How to compare predictive validity of two variables in multivariable model??</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/470957#M24510</link>
      <description>&lt;P&gt;a sas macro is available for pencina's net reclassification index: &lt;A href="https://analytics.ncsu.edu/sesug/2010/SDA07.Kennedy.pdf" target="_blank"&gt;https://analytics.ncsu.edu/sesug/2010/SDA07.Kennedy.pdf&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;pencina's method would be relevant for the scenario you describe ie 'not the whole model' just the added variables: "Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond" &lt;A href="https://www.ncbi.nlm.nih.gov/pubmed/17569110" target="_blank"&gt;https://www.ncbi.nlm.nih.gov/pubmed/17569110&lt;/A&gt;.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm going to write a brief blog post about about it's implementation when i find time....&lt;/P&gt;</description>
      <pubDate>Mon, 18 Jun 2018 01:33:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/470957#M24510</guid>
      <dc:creator>pau13rown</dc:creator>
      <dc:date>2018-06-18T01:33:54Z</dc:date>
    </item>
    <item>
      <title>Re: How to compare predictive validity of two variables in multivariable model??</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/471036#M24512</link>
      <description>Thanks for the help! I didn't realize I needed two separate models. Now if I then wanted to determine if M1 and M2 are independently associated with the outcome, would I construct a new model containing both in order to test for independence?</description>
      <pubDate>Mon, 18 Jun 2018 11:59:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/471036#M24512</guid>
      <dc:creator>iressa131</dc:creator>
      <dc:date>2018-06-18T11:59:50Z</dc:date>
    </item>
    <item>
      <title>Re: How to compare predictive validity of two variables in multivariable model??</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/471045#M24517</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/192118"&gt;@iressa131&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;Thanks for the help! I didn't realize I needed two separate models. Now if I then wanted to determine if M1 and M2 are independently associated with the outcome, would I construct a new model containing both in order to test for independence?&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;The way you have worded the question, I don't think this is a question that can be answered by fitting a model that has both variables.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If M1 and M2 have a correlation of zero, they have independent effects on the outcome. If they have a correlation that is not zero, then the effect of M1 and M2 will be correlated and not independent.&lt;/P&gt;</description>
      <pubDate>Mon, 18 Jun 2018 12:41:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/471045#M24517</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2018-06-18T12:41:05Z</dc:date>
    </item>
    <item>
      <title>Re: How to compare predictive validity of two variables in multivariable model??</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/471119#M24525</link>
      <description>&lt;P&gt;Okay I think I understand that thank you!&amp;nbsp;If its not too much trouble, could you clarify why 2 separate models is better for my initial aim of&amp;nbsp;comparing predictive validity of M1 and&amp;nbsp; M2 on the outcome? Would fitting a model with both M1 and M2 allow for potential bias?&lt;/P&gt;</description>
      <pubDate>Mon, 18 Jun 2018 15:08:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-compare-predictive-validity-of-two-variables-in/m-p/471119#M24525</guid>
      <dc:creator>iressa131</dc:creator>
      <dc:date>2018-06-18T15:08:26Z</dc:date>
    </item>
  </channel>
</rss>

