[R] Help in meta-analysis (URGENT please)

[MCGUIRE, Rhydwyn]

Hi Rosa, 

This looks like a mix of a R problem and a statistical problem. For the statistical part I think you are going to need to find a statistician/adviser to sit down with and workout what you want to measure and whether it is possible. 
For the R part it might be more useful to ask specific question about metafor, what happened when you tried to use it? Do you have an error message or a small example you could post so we could rerun your analysis? 

Cheers,
Rhydwyn 

-----Original Message-----
From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Rosa Oliveira
Sent: Tuesday, 9 February 2016 5:40 AM
To: r-help mailing list
Subject: [R] Help in meta-analysis (URGENT please)

Dear all,

I’m conducting a met analysis and I usually use Revman, bur as I’m trying to use R more and more, I would like to conduct the met analysis here, in R (R-studio).

One off my problems, I think, is that:
1st. it’s the first time :)
2. I only have data for 1 arm as you can see on the data that follows.

ARTIGO	qt	tt	qc	tc	Personal Notes	qt2
Giuliani M. (2014)	-	-	1515	1862	only MSM.	347
Diaz A. (2015)	-	-	-	-	only MSM (n=3081)	2499
Niedźwiedzka-Stadnik M. (2015)	828	1098	-	-		326
Hoenig M. (2015)	-	-	8506	-	MSM (n=8925)	419
Wu H. (2015)	58	145	-	16713	n=16892	87
Pan X. (2015)	-			-	only MSM (n=1316)	-
Ma Q. (2015)	-			-	only MSM (n=424)	-
Op de Coul E. (2015)	8596			-	HIV-infected patients (n=20965)	12369
Liu G. (2015)	-	-	1003 (?)	-	only MSM (n=1041) - some converted to HIV+ during the study	-
Hoenigl M. (2015)	-			-	only MSM (n=8935) analysis HIV tests repetitions	-
Moller L. M. (2015)	-	-	469	-	only MSM (N=561)	92
watkins (2015)	-	-	-	-	only MSM (n=1154) only analysis believes concerning the risk	-
den Dass C. (2015)	-	-	2408	-	only MSM (n=3787)	589
Jia Z. (2015)	-	-	5314	-	only MSM (n=5800)	486
solomon S. (2015)	-	-	10875	-	only MSM (n=12022)	1147
Diez M. (2014)	-	3599	-	-	n=145337	



legend:
qt the number of hiv subjetcs who are not sms.
qt2 the number of hiv subjetcs who are  sms.
tt the total number of hiv subjects.
qc the number of subjetcs who are sms without being hiv.
tc the total number of subject not hiv.



Is it possible to conduct a met analysis concerning the risk of hiv among MSM relative to the ones that are not MSM?

or simply concerning the risk of hiv among MSM????

If yes, How?

Metafor? I’ve tried, but wasn’t succeed :(


Best,
RO



Atenciosamente,
Rosa Oliveira

-- 
____________________________________________________________________________



Rosa Celeste dos Santos Oliveira, 

E-mail: rosita21 at gmail.com <mailto:rosita21 at gmail.com>
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