[R] how to summarize results from studies?

[Marc Schwartz]

Michael,

Thanks for the reminder on that.

Frederik, sometimes, with an emphasis on sometimes, the r-sig-* lists are willing to go beyond narrow R programming assistance, and offer domain specific conceptual assistance, which would otherwise be off-topic for r-help.

You might look through the archives of that list to get a sense for the subject matter that has been covered there:

  https://stat.ethz.ch/pipermail/r-sig-meta-analysis/ <https://stat.ethz.ch/pipermail/r-sig-meta-analysis/>

I might also mention that a Google search using "meta analysis in R", comes up with a number of relevant hits, including various tutorials.

Regards,

Marc


> On Jul 1, 2020, at 1:07 PM, Michael Dewey <lists using dewey.myzen.co.uk> wrote:
> 
> Dear Frederik
> 
> There is also a mailing list dedicated to meta-analysis in R
> 
> https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis//
> 
> Michael
> 
> 
> On 01/07/2020 16:40, Marc Schwartz via R-help wrote:
>> Hi,
>> It sounds like you will want to engage in a meta-analysis.
>> There is a CRAN task view here:
>>   https://cran.r-project.org/web/views/MetaAnalysis.html
>> that would be relevant in pointing you to tools in R that can support that approach.
>> That being said, the details of specific methodologies and conceptual assistance would be beyond the scope of this list. You should consider consulting a local statistician for assistance with that, if needed.
>> Regards,
>> Marc Schwartz
>>> On Jul 1, 2020, at 11:27 AM, Frederik Feys <frefeys using gmail.com> wrote:
>>> 
>>> Hello everyone
>>> 
>>> I have some studies with results from the same outcome scale. I want to merge them into 1 summarised estimated result and its standard deviation. How do I do that in R?
>>> 
>>> Thank you very much for your help!
>>> Frederik
>> ______________________________________________
>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> 
> -- 
> Michael
> http://www.dewey.myzen.co.uk/home.html


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