[R] Model studies in one analysis using treatment as a five level moderator in a meta-regression

Tue Jun 27 08:37:28 CEST 2017

Hi

You could try to ask your question on Stackexchange, maybe somebody will answer it. This list is dedicated to helping with R code not to teaching statistics (and you did not express any direct question about the code).

Anyway, you should complain about your statistics department.

Cheers
Petr

> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Jay Zola
> Sent: Monday, June 26, 2017 11:44 PM
> To: Vito Michele Rosario Muggeo <vito.muggeo at unipa.it>
> Cc: r-help at r-project.org
> Subject: Re: [R] Model studies in one analysis using treatment as a five level
> moderator in a meta-regression
>
> Dear Vito,
>
> Thank you for your reply. I tried to contact the statistics departement
> numerous times, but did not receive any reply. That is why I started to look on
> the internet for help.
>
> Yours sincerely,
>
> Jay
>
> Verstuurd vanaf mijn iPhone
>
> > Op 26 jun. 2017 om 22:05 heeft Vito Michele Rosario Muggeo
> <vito.muggeo at unipa.it> het volgende geschreven:
> >
> > hi Jay,
> > Consult a local statistician. Statistics is not you think is (namely simple
> computations, R and probably plotting..).
> >
> > regards,
> > vito
> >
> >
> >
> > Jay Zola <jayjay.1988 at hotmail.nl> ha scritto:
> >
> >> Hello,
> >>
> >>
> >> I am medical student, writing a meta-analysis on complication and
> reoperation rates after the five most common treatments of distal radius
> fractures. I have been busy with the statistics for months by my self, but find it
> quite hard since our classes were very basic. Now I want to compare the
> treatment modalities to see if there are significant differences. Using R I was
> able to synthesize the complication rates and reoperation rates for each
> treatment method. But I never had any R course and managed by trial and
> error, so the code probably doesn't look that great. Someone told me I could
> best model the data in one analysis using treatment as a five level moderator in
> a meta-regression. Can some help me with the R code to do this? Your help
> would be very much appreciated.
> >>
> >>
> >> Thank you,
> >>
> >>
> >> Jay
> >>
> >>
> >> Study| Event Type| Treatment| Number of Events (n)| N| n/N|
> >>
> >> Kumaravel| Complications| EF| 3| 23| 0,1304348|
> >>
> >> Franck| Complications| EF| 2| 20| 0,1|
> >>
> >> Schonnemann| Complications| EF| 8| 30| 0,2666667|
> >>
> >> Aita| Complications| EF| 1| 16| 0,0625|
> >>
> >> Hove| Complications| EF| 31| 39| 0,7948718|
> >>
> >> Andersen| Complications| EF| 26| 75| 0,3466667|
> >>
> >> Krughaug| Complications| EF| 22| 75| 0,2933333|
> >>
> >> Moroni| Complications| EF| 0| 20| 0|
> >>
> >> Plate| Complications| IMN| 3| 30| 0,1|
> >>
> >> Chappuis| Complications| IMN| 4| 16| 0,25|
> >>
> >> Gradl| Complications| IMN| 12| 66| 0,1818182|
> >>
> >> Schonnemann| Complications| IMN| 6| 31| 0,1935484|
> >>
> >> Aita| Complications| IMN| 1| 16| 0,0625|
> >>
> >> Dremstrop| Complications| IMN| 17| 44| 0,3863636|
> >>
> >> Wong| Complications| PC| 1| 30| 0,0333333|
> >>
> >> Kumaravel| Complications| PC| 4| 25| 0,16|
> >>
> >>
> >> Dataset on my dropbox:
> >>
> https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.com%2Fs%2F
> j
> >>
> 1urqzr99bt76ip%2FBasics%2520excel%2520file%2520complication%2520and
> %2
> >> 520reoperation%2520rate.xlsx%3Fdl%3D0&e=541e9c83&h=065e9ef9&f=y
> >>
> >> Basics excel file complication and reoperation
> >>
> rate.xlsx<https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.c
> >>
> om%2Fs%2Fj1urqzr99bt76ip%2FBasics%2520excel%2520file%2520complicatio
> n
> >>
> %2520and%2520reoperation%2520rate.xlsx%3Fdl%3D0&e=541e9c83&h=065e
> 9ef9
> >> &f=y>
> >>
> https://urlsand.esvalabs.com/?u=http%3A%2F%2Fwww.dropbox.com&e=541e
> 9c
> >> 83&h=4bc36151&f=y
> >> Shared with Dropbox
> >>
> >>
> >>
> >>
> >> library(meta)
> >> library(stargazer)
> >> library(foreign)
> >>
> >> All <-read.spss("C:\\Users\\313635aa.STUDENT\\Desktop\\Meta-Analyse
> >> Complications and Reoperations.sav",to.data.frame = T,
> >> use.value.labels = T) All <- na.omit(All)
> >>
> >> Complications <- All[which(All[,"Event_Type"] == "Complications"),]
> >> Re_operation <- All[which(All[,"Event_Type"] == "Reoperations"),]
> >>
> >> EF <- All[which(All[,"Treatment"] == "EF"),] IMN <-
> >> All[which(All[,"Treatment"] == "IMN"),] pc <-
> >> All[which(All[,"Treatment"] == "PC"),] KW <-
> >> All[which(All[,"Treatment"] == "KW"),] VPO <-
> >> All[which(All[,"Treatment"] == "VPO"),]
> >>
> >> EF_C <- EF[which(EF[,"Event_Type"] == "Complications"),] EF_R <-
> >> EF[which(EF[,"Event_Type"] == "Reoperations"),]
> >>
> >> IMN_C <- IMN[which(IMN[,"Event_Type"] == "Complications"),] IMN_R <-
> >> IMN[which(IMN[,"Event_Type"] == "Reoperations"),]
> >>
> >> pc_C <- pc[which(pc[,"Event_Type"] == "Complications"),] pc_R <-
> >> pc[which(pc[,"Event_Type"] == "Reoperations"),]
> >>
> >> KW_C <- KW[which(KW[,"Event_Type"] == "Complications"),] KW_R <-
> >> KW[which(KW[,"Event_Type"] == "Reoperations"),]
> >>
> >> VPO_C <- VPO[which(VPO[,"Event_Type"] == "Complications"),] VPO_R <-
> >> VPO[which(VPO[,"Event_Type"] == "Reoperations"),]
> >>
> >> Output <- function(x, y, k.min=10){
> >> file <- metaprop(Events_n, N, Study_ID, data = x)
> >>
> >> forest.meta(file, studlab = T, pooled.totals = T, bysort = F)
> >>
> >> dev.copy2pdf(file=y, width = 11.69, height = 8.27)
> >> print(file)
> >> }
> >>
> >> R code on my dropbox:
> >>
> https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.com%2Fs%2F
> 6
> >>
> 7pnfpi10qu110v%2FR%2520code%2520voor%2520forrest%2520en%2520funn
> el%25
> >> 20plots.rtf%3Fdl%3D0&e=541e9c83&h=1df77562&f=y
> >>
> >> [https://urlsand.esvalabs.com/?u=https%3A%2F%2Fcfl.dropboxstatic.com%
> >>
> 2Fstatic%2Fimages%2Ficons128%2Fpage_white_word.png&e=541e9c83&h=b0
> ed7
> >>
> c54&f=y]<https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.co
> >>
> m%2Fs%2F67pnfpi10qu110v%2FR%2520code%2520voor%2520forrest%2520e
> n%2520
> >> funnel%2520plots.rtf%3Fdl%3D0&e=541e9c83&h=1df77562&f=y>
> >>
> >> R code voor forrest en funnel
> >> plots.rtf<https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.c
> >>
> om%2Fs%2F67pnfpi10qu110v%2FR%2520code%2520voor%2520forrest%2520
> en%252
> >> 0funnel%2520plots.rtf%3Fdl%3D0&e=541e9c83&h=1df77562&f=y>
> >>
> https://urlsand.esvalabs.com/?u=http%3A%2F%2Fwww.dropbox.com&e=541e
> 9c
> >> 83&h=4bc36151&f=y
> >> Shared with Dropbox
> >>
> >>
> >>
> >>
> >>
> >>
> >>    [[alternative HTML version deleted]]
> >>
> >> ______________________________________________
> >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >>
> https://urlsand.esvalabs.com/?u=https%3A%2F%2Fstat.ethz.ch%2Fmailman%
> >> 2Flistinfo%2Fr-help&e=541e9c83&h=16efca0d&f=y
> >> PLEASE do read the posting guide
> >> https://urlsand.esvalabs.com/?u=http%3A%2F%2Fwww.R-
> project.org%2Fpost
> >> ing-guide.html&e=541e9c83&h=0c678195&f=y
> >> and provide commented, minimal, self-contained, reproducible code.
> >
> >
> >
>
> ______________________________________________
> 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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