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    <title>topic Re: Fitstat Option for Proc GAM and Proc Adaptivereg in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Fitstat-Option-for-Proc-GAM-and-Proc-Adaptivereg/m-p/548600#M27384</link>
    <description>&lt;P&gt;No. IMHO, you should switch from the&amp;nbsp;old PROC GAM to the newer PROC GAMPL. Although GAMPL&amp;nbsp;does not support a SCORE statement, you can score a GAMPL model is to use the "missing value trick." A discussion and example are available in the third section of the article &lt;A href="https://blogs.sas.com/content/iml/2017/12/20/create-sliced-fit-plot-sas.html" target="_self"&gt;"How to create a sliced fit plot in SAS."&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 04 Apr 2019 18:09:59 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2019-04-04T18:09:59Z</dc:date>
    <item>
      <title>Fitstat Option for Proc GAM and Proc Adaptivereg</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Fitstat-Option-for-Proc-GAM-and-Proc-Adaptivereg/m-p/548545#M27381</link>
      <description>&lt;P&gt;The 'score' statement in 'proc&amp;nbsp;logistic' provides a 'fitstat' option.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Is this 'fitstat' option available for (1) proc gam and/ or (2) proc adaptivereg?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks.&lt;/P&gt;</description>
      <pubDate>Thu, 04 Apr 2019 15:49:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Fitstat-Option-for-Proc-GAM-and-Proc-Adaptivereg/m-p/548545#M27381</guid>
      <dc:creator>davis</dc:creator>
      <dc:date>2019-04-04T15:49:10Z</dc:date>
    </item>
    <item>
      <title>Re: Fitstat Option for Proc GAM and Proc Adaptivereg</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Fitstat-Option-for-Proc-GAM-and-Proc-Adaptivereg/m-p/548585#M27382</link>
      <description>&lt;P&gt;I'm afraid not. However, if you are fitting a binary-response model, like a logistic model, you can get an ROC analysis including the area under the ROC curve as discussed an illustrated in &lt;A href="http://support.sas.com/kb/41364" target="_self"&gt;this note&lt;/A&gt;.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 04 Apr 2019 17:37:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Fitstat-Option-for-Proc-GAM-and-Proc-Adaptivereg/m-p/548585#M27382</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2019-04-04T17:37:54Z</dc:date>
    </item>
    <item>
      <title>Re: Fitstat Option for Proc GAM and Proc Adaptivereg</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Fitstat-Option-for-Proc-GAM-and-Proc-Adaptivereg/m-p/548600#M27384</link>
      <description>&lt;P&gt;No. IMHO, you should switch from the&amp;nbsp;old PROC GAM to the newer PROC GAMPL. Although GAMPL&amp;nbsp;does not support a SCORE statement, you can score a GAMPL model is to use the "missing value trick." A discussion and example are available in the third section of the article &lt;A href="https://blogs.sas.com/content/iml/2017/12/20/create-sliced-fit-plot-sas.html" target="_self"&gt;"How to create a sliced fit plot in SAS."&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 04 Apr 2019 18:09:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Fitstat-Option-for-Proc-GAM-and-Proc-Adaptivereg/m-p/548600#M27384</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2019-04-04T18:09:59Z</dc:date>
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