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What is in SAS the best way based on R packages or methodologies.to find corresponding (template) SAS code?
E.g. In R there exist a package {multinma} for multi-level network meta-regression
Does there exist corresponding SAS code?
The above R-package is one example. I am looking more for a strategy (other than calling R from SAS) to approach this.
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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 Phillioppe's 400-page PhD dissertation.
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Hope I have time to implement this kind of meta-analysis .
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 .
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Hi KSharp
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.
So I hope that you have had time to implement multilevel network meta-regression by SAS as described in Phillippoetal paper. ?
Best regards
Pito
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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.
Here are some multilevel network meta-analysis examples:
- SAS Viya 2023.11 -- SAS/STAT User's Guide
The BGLIMM Procedure
Example 31.7 Bayesian Networking Meta-analysis
https://go.documentation.sas.com/doc/en/pgmsascdc/v_045/statug/statug_bglimm_examples07.htm - Bayesian Analyses Using SAS® -- Course Notes
The majority of chapter 3 is on meta-analysis.
(I cannot give you the course pdf unfortunately) - https://www.lexjansen.com/search/searchresults.php?q=meta-analysis+mcmc+multi-level
- SAS Tip: Learn lexjansen.com
https://communities.sas.com/t5/SAS-Tips-from-the-Community/SAS-Tip-Learn-lexjansen-com/m-p/436336
Doing meta-analysis with PROC MCMC is a very popular topic.
Koen
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Maybe @Rick_SAS could have time and post a series of blogs about this topic in his BLOG .
Or PROC BGLLIM proposed by sbxkoenk is working for you ?