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    <title>topic Re: Proc logistic to proc genmod code in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-logistic-to-proc-genmod-code/m-p/456828#M23841</link>
    <description>&lt;P&gt;You might want to acquaint yourself with the SASHELP data sets, which enable you to post examples that use real data that everyone can access. For example, see&lt;/P&gt;
&lt;P&gt;&lt;A href="http://go.documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_sashelp_toc.htm&amp;amp;docsetVersion=14.3&amp;amp;locale=en" target="_self"&gt;SAS/STAT example data sets&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/documentation/tools/sashelpug.pdf" target="_self"&gt;SASHELP Data Sets&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You should also bookmark &lt;A href="http://go.documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=titlepage.htm&amp;amp;docsetVersion=14.3&amp;amp;locale=en" target="_self"&gt;the SAS/STAT documentation.&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;/* show variables for sashelp.heart */
proc contents data=sashelp.heart varnum; run;

/* show levels of categorical variables for sashelp.heart */
proc freq data=sashelp.heart;
tables sex BP_Status Chol_Status;
run;

ods select parameterestimates;
proc logistic data=sashelp.heart;
   class BP_Status(ref="Normal")/param=ref;
   class Chol_Status(ref="Desirable")/param=ref;
   model Sex(event='Female') = BP_Status 
   Chol_Status Weight Diastolic*Chol_Status
   ;
   output out=blah predicted=pred;
   ods output parameterestimates = par_blah;
run;

ods select parameterestimates;
proc genmod data=sashelp.heart;
   class BP_Status(ref="Normal")/param=ref;
   class Chol_Status(ref="Desirable")/param=ref;
   model Sex(event='Female') = BP_Status 
   Chol_Status Weight Diastolic*Chol_Status
   / dist=bin;
   output out=blah2 predicted=pred;
   ods output parameterestimates = par_blah2;
run;

/* compare predicted values to show they are approximately equal */
proc compare base=blah compare=blah2 method=absolute criterion=1e-8; 
run;

&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 24 Apr 2018 12:02:48 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2018-04-24T12:02:48Z</dc:date>
    <item>
      <title>Proc logistic to proc genmod code</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-logistic-to-proc-genmod-code/m-p/456771#M23840</link>
      <description>&lt;P&gt;Hello!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Sorry if this is a remedial question but&amp;nbsp;I'm learning SAS for a project and I'm having some trouble going from given proc logistic code (shown below) to using proc genmod instead. Any help would be appreciated!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc logistic data=data;
class x1(ref="1")/param=ref;
class x2(ref="2")/param=ref;
class x3(ref="3")/param=ref
weight x4;
model y(event='1') =&amp;nbsp;x1
x2
x3
x4
x5
x4 * x2
x5 * x3&lt;BR /&gt;
/stb;
output out=output.blah predicted=pred;
ods output parameterestimates = output.par_blah;
run;&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 24 Apr 2018 05:37:04 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-logistic-to-proc-genmod-code/m-p/456771#M23840</guid>
      <dc:creator>bobryan22</dc:creator>
      <dc:date>2018-04-24T05:37:04Z</dc:date>
    </item>
    <item>
      <title>Re: Proc logistic to proc genmod code</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-logistic-to-proc-genmod-code/m-p/456828#M23841</link>
      <description>&lt;P&gt;You might want to acquaint yourself with the SASHELP data sets, which enable you to post examples that use real data that everyone can access. For example, see&lt;/P&gt;
&lt;P&gt;&lt;A href="http://go.documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_sashelp_toc.htm&amp;amp;docsetVersion=14.3&amp;amp;locale=en" target="_self"&gt;SAS/STAT example data sets&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/documentation/tools/sashelpug.pdf" target="_self"&gt;SASHELP Data Sets&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You should also bookmark &lt;A href="http://go.documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=titlepage.htm&amp;amp;docsetVersion=14.3&amp;amp;locale=en" target="_self"&gt;the SAS/STAT documentation.&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;/* show variables for sashelp.heart */
proc contents data=sashelp.heart varnum; run;

/* show levels of categorical variables for sashelp.heart */
proc freq data=sashelp.heart;
tables sex BP_Status Chol_Status;
run;

ods select parameterestimates;
proc logistic data=sashelp.heart;
   class BP_Status(ref="Normal")/param=ref;
   class Chol_Status(ref="Desirable")/param=ref;
   model Sex(event='Female') = BP_Status 
   Chol_Status Weight Diastolic*Chol_Status
   ;
   output out=blah predicted=pred;
   ods output parameterestimates = par_blah;
run;

ods select parameterestimates;
proc genmod data=sashelp.heart;
   class BP_Status(ref="Normal")/param=ref;
   class Chol_Status(ref="Desirable")/param=ref;
   model Sex(event='Female') = BP_Status 
   Chol_Status Weight Diastolic*Chol_Status
   / dist=bin;
   output out=blah2 predicted=pred;
   ods output parameterestimates = par_blah2;
run;

/* compare predicted values to show they are approximately equal */
proc compare base=blah compare=blah2 method=absolute criterion=1e-8; 
run;

&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 24 Apr 2018 12:02:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-logistic-to-proc-genmod-code/m-p/456828#M23841</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-04-24T12:02:48Z</dc:date>
    </item>
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