<?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: How to do multi-imputation based on Bernoulli method in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-do-multi-imputation-based-on-Bernoulli-method/m-p/902765#M44749</link>
    <description>Maybe you can find some indications in this paper: &lt;A href="https://support.sas.com/resources/papers/proceedings/proceedings/sugi30/113-30.pdf" target="_blank"&gt;https://support.sas.com/resources/papers/proceedings/proceedings/sugi30/113-30.pdf&lt;/A&gt;</description>
    <pubDate>Mon, 13 Nov 2023 10:07:00 GMT</pubDate>
    <dc:creator>JosvanderVelden</dc:creator>
    <dc:date>2023-11-13T10:07:00Z</dc:date>
    <item>
      <title>How to do multi-imputation based on Bernoulli method</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-do-multi-imputation-based-on-Bernoulli-method/m-p/902631#M44732</link>
      <description>&lt;P&gt;I have a set of data that records the results of the examination of patients in the control group and the experimental group, divided into healed and non-union, but there are some missing values, and I need to calculate the response rate Pc based on the non-missing data in the control group, and for the control group, the results are based on Bernoulli (Pc) multiple filling. But I didn't find the relevant parameters in the PROC MI process at SAS. How do I do that?&lt;/P&gt;</description>
      <pubDate>Sat, 11 Nov 2023 09:14:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-do-multi-imputation-based-on-Bernoulli-method/m-p/902631#M44732</guid>
      <dc:creator>sunny_0514</dc:creator>
      <dc:date>2023-11-11T09:14:26Z</dc:date>
    </item>
    <item>
      <title>Re: How to do multi-imputation based on Bernoulli method</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-do-multi-imputation-based-on-Bernoulli-method/m-p/902765#M44749</link>
      <description>Maybe you can find some indications in this paper: &lt;A href="https://support.sas.com/resources/papers/proceedings/proceedings/sugi30/113-30.pdf" target="_blank"&gt;https://support.sas.com/resources/papers/proceedings/proceedings/sugi30/113-30.pdf&lt;/A&gt;</description>
      <pubDate>Mon, 13 Nov 2023 10:07:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-do-multi-imputation-based-on-Bernoulli-method/m-p/902765#M44749</guid>
      <dc:creator>JosvanderVelden</dc:creator>
      <dc:date>2023-11-13T10:07:00Z</dc:date>
    </item>
    <item>
      <title>Re: How to do multi-imputation based on Bernoulli method</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-do-multi-imputation-based-on-Bernoulli-method/m-p/902788#M44753</link>
      <description>&lt;P&gt;This section in the documentation will be helpful in determining which method you should use based on the missing data pattern and the type of variable.&lt;/P&gt;
&lt;P&gt;&lt;A href="https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/statug/statug_mi_details05.htm" target="_blank"&gt;SAS Help Center: Imputation Methods&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;In your case you will likely want to decide whether to use either the DISCRIM or LOGISTIC method.&lt;/P&gt;</description>
      <pubDate>Mon, 13 Nov 2023 14:20:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-do-multi-imputation-based-on-Bernoulli-method/m-p/902788#M44753</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2023-11-13T14:20:00Z</dc:date>
    </item>
  </channel>
</rss>

