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    <title>topic Re: Residuals in logistic regression in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88482#M257166</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;proc logistic data=mydata;&lt;/P&gt;&lt;P&gt;class var1(reference=1) var2(reference=1) var3(reference=1);&lt;/P&gt;&lt;P&gt;model case(event='1')=var1 var2 var3/rsq ctable pprob=(0 to 1 by .1) lackfit risklimits iplots;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 28 Jan 2013 16:14:35 GMT</pubDate>
    <dc:creator>Walternate</dc:creator>
    <dc:date>2013-01-28T16:14:35Z</dc:date>
    <item>
      <title>Residuals in logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88479#M257163</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I have created a multiple logistic regression model and am trying to look at the residuals. The only process I have found (iplots) prints residuals for about 100 participants at a time, which is not ideal since I have over 5000 study subjects. Any help is much appreciated!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 28 Jan 2013 15:43:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88479#M257163</guid>
      <dc:creator>Walternate</dc:creator>
      <dc:date>2013-01-28T15:43:59Z</dc:date>
    </item>
    <item>
      <title>Re: Residuals in logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88480#M257164</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Show your work/code please.&amp;nbsp; &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 28 Jan 2013 16:02:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88480#M257164</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2013-01-28T16:02:07Z</dc:date>
    </item>
    <item>
      <title>Re: Residuals in logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88481#M257165</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;How about&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;ODS GRAPHICS ON;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;proc logistic data = your_data &lt;STRONG&gt;plots = (all);&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; model y = x;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;In my case, the plots are saved on the C:\Documents and Settings\User&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Good luck,&lt;/P&gt;&lt;P&gt;Anca.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 28 Jan 2013 16:13:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88481#M257165</guid>
      <dc:creator>AncaTilea</dc:creator>
      <dc:date>2013-01-28T16:13:09Z</dc:date>
    </item>
    <item>
      <title>Re: Residuals in logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88482#M257166</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;proc logistic data=mydata;&lt;/P&gt;&lt;P&gt;class var1(reference=1) var2(reference=1) var3(reference=1);&lt;/P&gt;&lt;P&gt;model case(event='1')=var1 var2 var3/rsq ctable pprob=(0 to 1 by .1) lackfit risklimits iplots;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 28 Jan 2013 16:14:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88482#M257166</guid>
      <dc:creator>Walternate</dc:creator>
      <dc:date>2013-01-28T16:14:35Z</dc:date>
    </item>
    <item>
      <title>Re: Residuals in logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88483#M257167</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I think Anca solution is what you're looking for. In addition, I think you need to add the /param=ref option to your class statement.&lt;/P&gt;&lt;P&gt;Take a look at your output, specifically the Class level information and see if its what you want (basically your design matrix) or if you want the option I suggested.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 28 Jan 2013 16:21:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88483#M257167</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2013-01-28T16:21:07Z</dc:date>
    </item>
    <item>
      <title>Re: Residuals in logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88484#M257168</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;When I tried to run plots with Logistic with a data set that has more than 5000 observations I get this warning:&lt;/P&gt;&lt;P&gt;-------------&lt;/P&gt;&lt;P&gt;WARNING: Some plots have more than 5000 observations and are suppressed.&amp;nbsp; &lt;STRONG&gt;Specify the&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; PLOTS(MAXPOINTS=NONE) option&lt;/STRONG&gt; in the PROC LOGISTIC statement to display the plots.&lt;/P&gt;&lt;P&gt;Did you try this?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc logistic data = my_data &lt;STRONG&gt;plots(maxpoints = none);&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; model...;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 28 Jan 2013 16:21:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88484#M257168</guid>
      <dc:creator>AncaTilea</dc:creator>
      <dc:date>2013-01-28T16:21:54Z</dc:date>
    </item>
    <item>
      <title>Re: Residuals in logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88485#M257169</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Could you please explain what the /param=ref option is for?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 28 Jan 2013 16:28:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88485#M257169</guid>
      <dc:creator>Walternate</dc:creator>
      <dc:date>2013-01-28T16:28:11Z</dc:date>
    </item>
    <item>
      <title>Re: Residuals in logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88486#M257170</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;In your class statement you use 'reference = 1', which tells SAS that for the variable var1 the reference category is '1'.&lt;/P&gt;&lt;P&gt;You need the &lt;STRONG&gt;param = ref &lt;/STRONG&gt;to tell SAS to use &lt;SPAN style="text-decoration: line-through;"&gt;that&lt;/SPAN&gt; reference &lt;STRONG&gt;&lt;EM&gt;coding&lt;/EM&gt;&lt;/STRONG&gt; in parameter estimates.&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;P&gt;&lt;/P&gt;&lt;P&gt;----&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 28 Jan 2013 16:31:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88486#M257170</guid>
      <dc:creator>AncaTilea</dc:creator>
      <dc:date>2013-01-28T16:31:05Z</dc:date>
    </item>
    <item>
      <title>Re: Residuals in logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88487#M257171</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;It specifies how SAS creates the design matrix for class variables, the default is 'EFFECT CODING' when most people want 'REFERENCE CODING' instead.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="http://www.ats.ucla.edu/stat/sas/faq/proc_logistic_coding.htm" title="http://www.ats.ucla.edu/stat/sas/faq/proc_logistic_coding.htm"&gt;SAS FAQ: In PROC LOGISTIC why aren't the coefficients consistent with the odds ratios?&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 28 Jan 2013 16:31:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88487#M257171</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2013-01-28T16:31:51Z</dc:date>
    </item>
    <item>
      <title>Re: Residuals in logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88488#M257172</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Not quite, it can still use that as the reference for Effect coding, but it won't be what you want necessarily.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 28 Jan 2013 16:32:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88488#M257172</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2013-01-28T16:32:29Z</dc:date>
    </item>
    <item>
      <title>Re: Residuals in logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88489#M257173</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thank you.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 28 Jan 2013 16:37:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Residuals-in-logistic-regression/m-p/88489#M257173</guid>
      <dc:creator>AncaTilea</dc:creator>
      <dc:date>2013-01-28T16:37:10Z</dc:date>
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