Dear Rosa

I suggest reformatting your dataset to have four variables (a) study (2) MSM yes or no (3) number with HIV (4) total number. Then you can use any of the options in metafor (look for outcomes for individual groups in ?escalc) and use MSM as a moderator.

Is there any reason why you did not just do a logistic regression?

On 08/02/2016 18:40, Rosa Oliveira wrote:
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


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

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