<?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: Weight method in PROC HPGENSELECT in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427398#M22467</link>
    <description>&lt;P&gt;Well, I want to build Zero Inflated models, (based on stepwise). Using weights, recived parameters would be better. I don't think that PROC SURVEYREG will be enough for that.&lt;/P&gt;</description>
    <pubDate>Fri, 12 Jan 2018 23:32:42 GMT</pubDate>
    <dc:creator>roberto93</dc:creator>
    <dc:date>2018-01-12T23:32:42Z</dc:date>
    <item>
      <title>Weight method in PROC HPGENSELECT</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427202#M22446</link>
      <description>&lt;P&gt;Hi! I am using PROC HPGENSELECT with weights but results are different than in other analysis tools. Could you tell which type of weight is used in this PROC (f.e. frequency weights or probability weights)? Is it possible to use importance weights in this PROC? Thanks for help.&lt;/P&gt;</description>
      <pubDate>Fri, 12 Jan 2018 14:32:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427202#M22446</guid>
      <dc:creator>roberto93</dc:creator>
      <dc:date>2018-01-12T14:32:27Z</dc:date>
    </item>
    <item>
      <title>Re: Weight method in PROC HPGENSELECT</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427208#M22447</link>
      <description>&lt;P&gt;The GENSELECT procedure (in fact, all regression procedures except&amp;nbsp;SURVEY* procedures) uses analytical weights, also called n inverse variance weight. See the following articles:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://blogs.sas.com/content/iml/2013/09/13/frequencies-vs-weights-in-regression.html" target="_self"&gt;The difference between frequencies and weights in regression analysis&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://blogs.sas.com/content/iml/2016/10/05/weighted-regression.html" target="_self"&gt;Visualize a weighted regression&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://blogs.sas.com/content/iml/2017/10/02/weight-variables-in-statistics-sas.html" target="_self"&gt;How to understand weight variables in statistical analyses&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The last article discusses 'importance weights.' The GENSELECT&amp;nbsp;procedure&amp;nbsp;supports frequencies and analytical weights.&lt;/P&gt;</description>
      <pubDate>Fri, 12 Jan 2018 15:07:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427208#M22447</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-01-12T15:07:00Z</dc:date>
    </item>
    <item>
      <title>Re: Weight method in PROC HPGENSELECT</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427218#M22448</link>
      <description>&lt;P&gt;Thank You for answer. However it's pretty sad that SAS doesn't support one the most common types of weights. Is there a way to use at least the probability weight in this PROC?&lt;/P&gt;</description>
      <pubDate>Fri, 12 Jan 2018 15:43:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427218#M22448</guid>
      <dc:creator>roberto93</dc:creator>
      <dc:date>2018-01-12T15:43:57Z</dc:date>
    </item>
    <item>
      <title>Re: Weight method in PROC HPGENSELECT</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427237#M22449</link>
      <description>&lt;P&gt;If you specify your model and post some sample data, someone will be able to advise you as to how to fit the model in SAS.&lt;/P&gt;</description>
      <pubDate>Fri, 12 Jan 2018 16:12:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427237#M22449</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-01-12T16:12:29Z</dc:date>
    </item>
    <item>
      <title>Re: Weight method in PROC HPGENSELECT</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427240#M22451</link>
      <description>&lt;P&gt;If you have survey data with weights, then that is supported by our set of SURVEY procedures such as PROC SURVEYREG, PROC SURVEYLOGISTIC, and others. See those procedures to see if your needs are covered by one of those procedures.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 12 Jan 2018 16:14:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427240#M22451</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2018-01-12T16:14:17Z</dc:date>
    </item>
    <item>
      <title>Re: Weight method in PROC HPGENSELECT</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427398#M22467</link>
      <description>&lt;P&gt;Well, I want to build Zero Inflated models, (based on stepwise). Using weights, recived parameters would be better. I don't think that PROC SURVEYREG will be enough for that.&lt;/P&gt;</description>
      <pubDate>Fri, 12 Jan 2018 23:32:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Weight-method-in-PROC-HPGENSELECT/m-p/427398#M22467</guid>
      <dc:creator>roberto93</dc:creator>
      <dc:date>2018-01-12T23:32:42Z</dc:date>
    </item>
  </channel>
</rss>

