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
Niedz?wiedzka-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>
Tlm: +351 939355143
Linkedin: https://pt.linkedin.com/in/rosacsoliveira
<https://pt.linkedin.com/in/rosacsoliveira>
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