<?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 WARNING: Negative of Hessian not positive definite (PROC GENMOD) in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/WARNING-Negative-of-Hessian-not-positive-definite-PROC-GENMOD/m-p/234320#M268165</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;I am running analysis on a sample (N=160) with a count outcome which is the number of ICD-10 items reported by participants (0 minimum, 6 maximum). Here is the SAS program:&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;data negbig;&lt;BR /&gt; set work.wp;&lt;BR /&gt;if W1_Cat_FINAL_NODUAL=1;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc genmod data=negbig;&lt;BR /&gt;class W1_Sex (param=ref ref=last) W1_SD3 (param=ref ref=first) W1_F13 (param=ref ref=first) &lt;BR /&gt; W1_F17 (param=ref ref=first) W1_F18 (param=ref ref=first) &lt;BR /&gt; W1_SCTS_6R (param=ref ref=first) W1_SCTS_8R (param=ref ref=first) &lt;BR /&gt; W1_SCTS_17R (param=ref ref=first) W1_SCTS_20R (param=ref ref=first)&lt;BR /&gt; W1_SCTS_27R (param=ref ref=first);&lt;BR /&gt; model W1_ICD10_Numberofcriteria = W1_Sex W1_SD3 W1_F13 W1_F17 W1_F18 W1_DISTR_SCORE&lt;BR /&gt; W1_NOVEL_SCORE W1_SCTS_6R W1_SCTS_8R W1_SCTS_17R W1_SCTS_20R W1_SCTS_27R&lt;BR /&gt; /type3 dist=poisson link=log dscale;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;proc reg data=negbig;&lt;BR /&gt; model W1_ICD10_Numberofcriteria = W1_Sex W1_SD3 W1_F13 W1_F17 W1_F18 W1_DISTR_SCORE&lt;BR /&gt; W1_NOVEL_SCORE W1_SCTS_6R W1_SCTS_8R W1_SCTS_17R W1_SCTS_20R W1_SCTS_27R/ vif tol;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;data test1;&lt;BR /&gt; pval = 1 - probchi(111.1172, 143);&lt;BR /&gt;run;&lt;BR /&gt;proc print data=test1;run;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;proc genmod data=negbig descending;&lt;BR /&gt;class W1_ID W1_Sex (param=ref ref=last) W1_SD3 (param=ref ref=first) W1_SD11_A (param=ref ref=first) W1_F13 (param=ref ref=first) W1_WP32_A (param=ref ref=first) &lt;BR /&gt; W1_SM56_B (param=ref ref=first) W1_SM56_C (param=ref ref=first) W1_SCTS_18R (param=ref ref=first) W1_SCTS_20R (param=ref ref=first) &lt;BR /&gt; W1_SCTS_21R (param=ref ref=first);&lt;BR /&gt; model W1_ICD10_Numberofcriteria = W1_Sex W1_SD3 W1_SD11_A W1_F13 W1_WP32_A W1_SM56_B W1_SM56_C W1_DEPRESSION_SCORE W1_SCTS_18R&lt;BR /&gt; W1_SCTS_20R W1_SCTS_21R/type3 dist=poisson link=log;&lt;BR /&gt; Repeated subject=W1_ID / type=Ind;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;No collinearity among explanatory variables. However, I encountered the follwoing error:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;WARNING:&amp;nbsp;Negative of Hessian not positive definite&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;What this means and how can I overcome this problem?&lt;/P&gt;
&lt;P&gt;Thank you.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 12 Nov 2015 03:48:03 GMT</pubDate>
    <dc:creator>sas_user4</dc:creator>
    <dc:date>2015-11-12T03:48:03Z</dc:date>
    <item>
      <title>WARNING: Negative of Hessian not positive definite (PROC GENMOD)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/WARNING-Negative-of-Hessian-not-positive-definite-PROC-GENMOD/m-p/234320#M268165</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;I am running analysis on a sample (N=160) with a count outcome which is the number of ICD-10 items reported by participants (0 minimum, 6 maximum). Here is the SAS program:&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;data negbig;&lt;BR /&gt; set work.wp;&lt;BR /&gt;if W1_Cat_FINAL_NODUAL=1;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc genmod data=negbig;&lt;BR /&gt;class W1_Sex (param=ref ref=last) W1_SD3 (param=ref ref=first) W1_F13 (param=ref ref=first) &lt;BR /&gt; W1_F17 (param=ref ref=first) W1_F18 (param=ref ref=first) &lt;BR /&gt; W1_SCTS_6R (param=ref ref=first) W1_SCTS_8R (param=ref ref=first) &lt;BR /&gt; W1_SCTS_17R (param=ref ref=first) W1_SCTS_20R (param=ref ref=first)&lt;BR /&gt; W1_SCTS_27R (param=ref ref=first);&lt;BR /&gt; model W1_ICD10_Numberofcriteria = W1_Sex W1_SD3 W1_F13 W1_F17 W1_F18 W1_DISTR_SCORE&lt;BR /&gt; W1_NOVEL_SCORE W1_SCTS_6R W1_SCTS_8R W1_SCTS_17R W1_SCTS_20R W1_SCTS_27R&lt;BR /&gt; /type3 dist=poisson link=log dscale;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;proc reg data=negbig;&lt;BR /&gt; model W1_ICD10_Numberofcriteria = W1_Sex W1_SD3 W1_F13 W1_F17 W1_F18 W1_DISTR_SCORE&lt;BR /&gt; W1_NOVEL_SCORE W1_SCTS_6R W1_SCTS_8R W1_SCTS_17R W1_SCTS_20R W1_SCTS_27R/ vif tol;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;data test1;&lt;BR /&gt; pval = 1 - probchi(111.1172, 143);&lt;BR /&gt;run;&lt;BR /&gt;proc print data=test1;run;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;proc genmod data=negbig descending;&lt;BR /&gt;class W1_ID W1_Sex (param=ref ref=last) W1_SD3 (param=ref ref=first) W1_SD11_A (param=ref ref=first) W1_F13 (param=ref ref=first) W1_WP32_A (param=ref ref=first) &lt;BR /&gt; W1_SM56_B (param=ref ref=first) W1_SM56_C (param=ref ref=first) W1_SCTS_18R (param=ref ref=first) W1_SCTS_20R (param=ref ref=first) &lt;BR /&gt; W1_SCTS_21R (param=ref ref=first);&lt;BR /&gt; model W1_ICD10_Numberofcriteria = W1_Sex W1_SD3 W1_SD11_A W1_F13 W1_WP32_A W1_SM56_B W1_SM56_C W1_DEPRESSION_SCORE W1_SCTS_18R&lt;BR /&gt; W1_SCTS_20R W1_SCTS_21R/type3 dist=poisson link=log;&lt;BR /&gt; Repeated subject=W1_ID / type=Ind;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;No collinearity among explanatory variables. However, I encountered the follwoing error:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;WARNING:&amp;nbsp;Negative of Hessian not positive definite&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;What this means and how can I overcome this problem?&lt;/P&gt;
&lt;P&gt;Thank you.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 12 Nov 2015 03:48:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/WARNING-Negative-of-Hessian-not-positive-definite-PROC-GENMOD/m-p/234320#M268165</guid>
      <dc:creator>sas_user4</dc:creator>
      <dc:date>2015-11-12T03:48:03Z</dc:date>
    </item>
    <item>
      <title>Re: WARNING: Negative of Hessian not positive definite (PROC GENMOD)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/WARNING-Negative-of-Hessian-not-positive-definite-PROC-GENMOD/m-p/234404#M268166</link>
      <description>How many variables do you have in your model? A categorical variable with N levels counts as N-1 variables. I'm thinking you have more variables than data...</description>
      <pubDate>Thu, 12 Nov 2015 16:04:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/WARNING-Negative-of-Hessian-not-positive-definite-PROC-GENMOD/m-p/234404#M268166</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2015-11-12T16:04:47Z</dc:date>
    </item>
  </channel>
</rss>

