search for: reoperations

...://www.dropbox.com/s/j1urqzr99bt76ip/Basics%20excel%20file%20complication%20and%20reoperation%20rate.xlsx?dl=0> www.dropbox.com 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&quo...

...ent_Type","Treatment","Events_n","N","nN") All$Treatment <- factor(All$Treatment, levels=c("PC","EF","IMN","KW","VPO")) # Outcomes Complications <- subset(All, Event_Type=="Complications") Reoperations <- subset(All, Event_Type=="Reoperations") # Comparison of treatment effects to gold standard in the Complications subset mtpr1 <- metaprop(Events_n, N, Study_ID, data = Complications) meta::metareg(mtpr1, ~Treatment) # Comparison of treatment effects to gold standard in the Reopera...

...labs.com/?u=http%3A%2F%2Fwww.dropbox.com&e=541e9c83&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 <-...

...","Treatment","Events_n","N","nN") All$Treatment ><- factor(All$Treatment, levels=c("PC","EF","IMN","KW","VPO")) # Outcomes >Complications <- subset(All, Event_Type=="Complications") Reoperations <- >subset(All, Event_Type=="Reoperations") # Comparison of treatment effects >to gold standard in the Complications subset mtpr1 <- metaprop(Events_n, >N, Study_ID, data = Complications) meta::metareg(mtpr1, ~Treatment) # >Comparison of treatment effects to gold standar...

...om&e=541e9c83&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"),] >>...

> On Jun 23, 2017, at 5:53 AM, Jay Zola <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

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

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 > Op 24 jun. 2017 om 14:18 heeft Michael Dewey <lists at dewey.myzen.co.uk> het volgende geschreven: > > Note though that this has been put on hold on stats.stackexchange.com as off-topic. > >>

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

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: > 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

1. You neglected to cc r-help! 2. Word files are **not** text files. -- 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 12:23 PM, Jay Zola <jayjay.1988 at hotmail.nl> wrote: > Dear sir, > > >