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    <title>topic Re: SAS code for {multinma} for multi-level network meta-regression in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/908608#M45099</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;SPAN&gt;KSharp&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;I know that R has the package 'multinma' for performing network meta-analysis and network meta-regression with aggregate data, individual patient data, or mixture of both. But I have no experience with R.&lt;/P&gt;&lt;P&gt;So I hope that you have had time to implement multilevel network meta-regression by SAS as described in Phillippoetal paper. ?&lt;/P&gt;&lt;P&gt;Best regards&lt;/P&gt;&lt;P&gt;Pito&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Mon, 18 Dec 2023 14:03:08 GMT</pubDate>
    <dc:creator>pito</dc:creator>
    <dc:date>2023-12-18T14:03:08Z</dc:date>
    <item>
      <title>SAS code for {multinma} for multi-level network meta-regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/839978#M41628</link>
      <description>&lt;P&gt;What is in SAS the best way based on R packages or methodologies.to find corresponding (template) SAS code?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;E.g. In R there exist a package &lt;A title="{multinma} for multi-level network meta-regression" href="https://cran.r-project.org/web/packages/multinma/readme/README.html" target="_blank" rel="noopener"&gt;{multinma} for multi-level network meta-regression&lt;/A&gt;&lt;/P&gt;&lt;P&gt;Does there exist corresponding SAS code?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;The above R-package is one example. I am looking more for a strategy (other than calling R from SAS) to approach this.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 21 Oct 2022 16:44:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/839978#M41628</guid>
      <dc:creator>cahr</dc:creator>
      <dc:date>2022-10-21T16:44:52Z</dc:date>
    </item>
    <item>
      <title>Re: SAS code for {multinma} for multi-level network meta-regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/840071#M41632</link>
      <description>&lt;P&gt;Check this :&lt;BR /&gt;&lt;A href="https://support.sas.com/kb/30/333.html" target="_blank"&gt;https://support.sas.com/kb/30/333.html&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Ksharp_0-1666435104139.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/76464i4CA58F46CA5F9947/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Ksharp_0-1666435104139.png" alt="Ksharp_0-1666435104139.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 22 Oct 2022 10:38:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/840071#M41632</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2022-10-22T10:38:00Z</dc:date>
    </item>
    <item>
      <title>Re: SAS code for {multinma} for multi-level network meta-regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/840072#M41633</link>
      <description>Or maybe &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt; could wrote one for you .</description>
      <pubDate>Sat, 22 Oct 2022 10:41:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/840072#M41633</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2022-10-22T10:41:28Z</dc:date>
    </item>
    <item>
      <title>Re: SAS code for {multinma} for multi-level network meta-regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/840093#M41637</link>
      <description>&lt;P&gt;Ha-Ha, KSharp. Very funny. Even if I had experience with meta analysis and Stan and Bayesian computing, I don't have time to reimplement &lt;A href="https://research-information.bris.ac.uk/ws/portalfiles/portal/218211125/David_Phillippo_PhD_Thesis.pdf" target="_self"&gt;Phillioppe's 400-page PhD dissertation&lt;/A&gt;.&lt;/P&gt;</description>
      <pubDate>Sat, 22 Oct 2022 15:40:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/840093#M41637</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2022-10-22T15:40:44Z</dc:date>
    </item>
    <item>
      <title>Re: SAS code for {multinma} for multi-level network meta-regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/840141#M41639</link>
      <description>Hi Rick,&lt;BR /&gt;Hope I have time to implement this kind of meta-analysis .&lt;BR /&gt;If I have time ,I would take a look at the paper you posted . and hope I could understand this paper and have ability to make it happen by SAS .&lt;BR /&gt;&lt;BR /&gt;</description>
      <pubDate>Sun, 23 Oct 2022 09:02:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/840141#M41639</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2022-10-23T09:02:30Z</dc:date>
    </item>
    <item>
      <title>Re: SAS code for {multinma} for multi-level network meta-regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/908608#M45099</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;SPAN&gt;KSharp&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;I know that R has the package 'multinma' for performing network meta-analysis and network meta-regression with aggregate data, individual patient data, or mixture of both. But I have no experience with R.&lt;/P&gt;&lt;P&gt;So I hope that you have had time to implement multilevel network meta-regression by SAS as described in Phillippoetal paper. ?&lt;/P&gt;&lt;P&gt;Best regards&lt;/P&gt;&lt;P&gt;Pito&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 18 Dec 2023 14:03:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/908608#M45099</guid>
      <dc:creator>pito</dc:creator>
      <dc:date>2023-12-18T14:03:08Z</dc:date>
    </item>
    <item>
      <title>Re: SAS code for {multinma} for multi-level network meta-regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/908666#M45103</link>
      <description>&lt;P&gt;Performing network meta-analysis and network meta-regression with aggregate data, individual patient data, or mixture of both can be done using PROC MCMC in SAS.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Here are some multilevel network meta-analysis examples:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;SAS Viya 2023.11 -- SAS/STAT User's Guide&lt;BR /&gt;The BGLIMM Procedure&lt;BR /&gt;Example 31.7 Bayesian Networking Meta-analysis&lt;BR /&gt;&lt;A href="https://go.documentation.sas.com/doc/en/pgmsascdc/v_045/statug/statug_bglimm_examples07.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/pgmsascdc/v_045/statug/statug_bglimm_examples07.htm&lt;/A&gt;&lt;/LI&gt;
&lt;LI&gt;Bayesian Analyses Using SAS® -- Course Notes&lt;BR /&gt;The majority of chapter 3 is on meta-analysis.&lt;BR /&gt;(I cannot give you the course pdf unfortunately)&lt;/LI&gt;
&lt;LI&gt;&lt;A href="https://www.lexjansen.com/search/searchresults.php?q=meta-analysis+mcmc+multi-level" target="_blank"&gt;https://www.lexjansen.com/search/searchresults.php?q=meta-analysis+mcmc+multi-level&lt;/A&gt;&lt;/LI&gt;
&lt;LI&gt;SAS Tip: Learn lexjansen.com&lt;BR /&gt;&lt;A href="https://communities.sas.com/t5/SAS-Tips-from-the-Community/SAS-Tip-Learn-lexjansen-com/m-p/436336" target="_blank"&gt;https://communities.sas.com/t5/SAS-Tips-from-the-Community/SAS-Tip-Learn-lexjansen-com/m-p/436336&lt;/A&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;SPAN&gt;Doing meta-analysis with PROC MCMC is a very popular topic.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;</description>
      <pubDate>Mon, 18 Dec 2023 18:02:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/908666#M45103</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2023-12-18T18:02:52Z</dc:date>
    </item>
    <item>
      <title>Re: SAS code for {multinma} for multi-level network meta-regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/908748#M45108</link>
      <description>Sorry. I have no time go through all these paper and write sas code recently. &lt;BR /&gt;Maybe &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt; could have time and post a series of blogs about this topic in his BLOG .&lt;BR /&gt;&lt;BR /&gt;Or PROC BGLLIM proposed by sbxkoenk  is working for you ?&lt;BR /&gt;</description>
      <pubDate>Tue, 19 Dec 2023 01:11:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-code-for-multinma-for-multi-level-network-meta-regression/m-p/908748#M45108</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2023-12-19T01:11:43Z</dc:date>
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