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Comparing pooled proportions(complication and reoperation rates) of different treatment modalities

7 messages · Jay Zola, David Winsemius, Bert Gunter +1 more

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Dear sir/madame,


I am currently writing a meta-analysis on the complication and reoperation rates of 5 different treatment modalities after a distal radius fracture. I was able to pool the rates of the 5 different rates using R. Now I have to compare the pooled rates of the 4 treatment modalities with the golden standard separately. I though the chi squared test would be the best method. How do I do that using r. The R code I have used for the former calculation are added as a Word-file attachment. Your help would be highly appreciated.


Yours sincerely,


Student
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Not an acceptable format to the listserv program. Policy is set by the host institution. Use plain text.
David Winsemius
Alameda, CA, USA
#
Probably the wrong list. R-help is concerned with R programming, not
statistics methodology questions, although the intersection can be
nonempty.

I suggest you post on stats.stackexchange.com instead, which *is*
concerned with statistics methodology questions.


Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Fri, Jun 23, 2017 at 5:53 AM, Jay Zola <jayjay.1988 at hotmail.nl> wrote:
#
Dear sir/madame,


Currently I am writing a meta analysis on complications and reoperations of 5 treatment modalities after an extra-articular distal radius fracture. The treatment modalities are EF, IMN, KW, VPO and PC as the golden standard. We have included 22 studies, 10 RCTs and 12 prospective studies. All examining different treatment methods. We retrieved the data out of these studies and pooled the complication and reoperation rates(n/N). Now we want to compare the pooled proportion of each treatment modality to the golden standard of PC(plaster casting). So I want to do 4 separate comparisons using the chi squared method. I looked it up online and at the meta package guide(meta is the package I used), but wasn't able to find useful information. I first posted my question onto the stats.stackexchange website but was redirected to the mailing list of r-help. I have added a picture of the most important parts of the code (not the egger's regression, funnel, trim and fill and outcome.pdf parts of it because it didn't fit). I have added the data in excel and spss file to my dropbox, and added the complete Rcode to a Word file in my dropbox as well. The links below will refer you to them as preferred by the posting guide. Hopefully someone can help me.


Thank you very much.



Excel datafile: https://www.dropbox.com/s/19402gt0x1agt9f/Excel%20file%20Distal%20Radius%20Fracture%20basic.xlsx?dl=0

Excel file Distal Radius Fracture basic.xlsx<https://www.dropbox.com/s/19402gt0x1agt9f/Excel%20file%20Distal%20Radius%20Fracture%20basic.xlsx?dl=0>
www.dropbox.com
Shared with Dropbox



SPSS datafile: https://www.dropbox.com/s/h81pphxkfk74hzo/Meta-Analyse%20Complications%20and%20Reoperations.sav?dl=0

[https://cfl.dropboxstatic.com/static/images/icons128/page_white.png]<https://www.dropbox.com/s/h81pphxkfk74hzo/Meta-Analyse%20Complications%20and%20Reoperations.sav?dl=0>

Meta-Analyse Complications and Reoperations.sav<https://www.dropbox.com/s/h81pphxkfk74hzo/Meta-Analyse%20Complications%20and%20Reoperations.sav?dl=0>
www.dropbox.com
Shared with Dropbox


Rcode file Word: https://www.dropbox.com/s/67pnfpi10qu110v/R%20code%20voor%20forrest%20en%20funnel%20plots.rtf?dl=0

[https://cfl.dropboxstatic.com/static/images/icons128/page_white_word.png]<https://www.dropbox.com/s/67pnfpi10qu110v/R%20code%20voor%20forrest%20en%20funnel%20plots.rtf?dl=0>

R code voor forrest en funnel plots.rtf<https://www.dropbox.com/s/67pnfpi10qu110v/R%20code%20voor%20forrest%20en%20funnel%20plots.rtf?dl=0>
www.dropbox.com
Shared with Dropbox





https://stats.stackexchange.com/questions/286920/comparing-pooled-propotions-using-r-for-a-meta-analysis

[https://cdn.sstatic.net/Sites/stats/img/apple-touch-icon at 2.png?v=344f57aa10cc]<https://stats.stackexchange.com/questions/286920/comparing-pooled-propotions-using-r-for-a-meta-analysis>

Comparing pooled propotions using R for a meta-analysis<https://stats.stackexchange.com/questions/286920/comparing-pooled-propotions-using-r-for-a-meta-analysis>
stats.stackexchange.com
For a meta-analysis I have pooled single proportions(complication rates) of several treatment methods. Now I would like to compare them(the 4 treatment modalities separately with the golden standar...







________________________________
Van: David Winsemius <dwinsemius at comcast.net>
Verzonden: vrijdag 23 juni 2017 20:18
Aan: Jay Zola
CC: r-help at r-project.org
Onderwerp: Re: [R] Comparing pooled proportions(complication and reoperation rates) of different treatment modalities
Not an acceptable format to the listserv program. Policy is set by the host institution. Use plain text.
thz.ch/mailman/listinfo/r-help>
stat.ethz.ch
The main R mailing list, for announcements about the development of R and the availability of new code, questions and answers about problems and solutions using R ...
David Winsemius
Alameda, CA, USA
#
Note though that this has been put on hold on stats.stackexchange.com as 
off-topic.
On 23/06/2017 19:33, Bert Gunter wrote:

  
    
  
1 day later
#
What is the best way to change my R code to be able to compare the pooled proportions(complication and reoperation rates) with the Chi square method?

Verstuurd vanaf mijn iPhone
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Op 26 jun. 2017 om 15:22 heeft Jay Zola <jayjay.1988 at hotmail.nl<mailto:jayjay.1988 at hotmail.nl>> het volgende geschreven:

What is the best way to change my R code to be able to compare the pooled proportions(complication and reoperation rates) with the Chi square method?

Just adding an adjustment to the links because they were not working correctly.


Dataset on my dropbox: https://www.dropbox.com/s/j1urqzr99bt76ip/Basics%20excel%20file%20complication%20and%20reoperation%20rate.xlsx?dl=0


R code on my dropbox: https://wwwdropbox.com/s/67pnfpi10qu110v/R%20code%20voor%20forrest%20en%20funnel%20plots.rtf?dl=0


Verstuurd vanaf mijn iPhone

Op 24 jun. 2017 om 14:18 heeft Michael Dewey <lists at dewey.myzen.co.uk<mailto:lists at dewey.myzen.co.uk>> het volgende geschreven:

Note though that this has been put on hold on stats.stackexchange.com<http://stats.stackexchange.com> as off-topic.
On 23/06/2017 19:33, Bert Gunter wrote:
Probably the wrong list. R-help is concerned with R programming, not
statistics methodology questions, although the intersection can be
nonempty.

I suggest you post on stats.stackexchange.com<http://stats.stackexchange.com> instead, which *is*
concerned with statistics methodology questions.


Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Fri, Jun 23, 2017 at 5:53 AM, Jay Zola <jayjay.1988 at hotmail.nl<mailto:jayjay.1988 at hotmail.nl>> wrote:
Dear sir/madame,


I am currently writing a meta-analysis on the complication and reoperation rates of 5 different treatment modalities after a distal radius fracture. I was able to pool the rates of the 5 different rates using R. Now I have to compare the pooled rates of the 4 treatment modalities with the golden standard separately. I though the chi squared test would be the best method. How do I do that using r. The R code I have used for the former calculation are added as a Word-file attachment. Your help would be highly appreciated.


Yours sincerely,


Student
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

______________________________________________
R-help at r-project.org<mailto:R-help at r-project.org> mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

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--
Michael
http://www.dewey.myzen.co.uk/home.html

______________________________________________
R-help at r-project.org<mailto:R-help at r-project.org> mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.