[R-meta] Identifying studies in influence analyses output
Dear Daniel Comments in-line
On 04/12/2019 11:05, Daniel M?nsted Shabanzadeh wrote:
Hey I am performing a meta-analysis on proportions of complications following a surgical intervention and analyses are with high heterogeneity. I therefore explore influential studies in order to exclude them and use this code:
Please do not do that, they are the most interesting studies.
b<-rma(xi=compl_treat, ni=total, measure = "PAS", data=s)
At this point you did not tell rma what the studies were called (using the slab parameter) so it cannot label them. Try supplying slab and see what happens. Michael
b.1<-influence(b) options(max.print=999999) print(b.1) Which gives me this list: rstudent dffits cook.d cov.r tau2.del QE.del hat weight dfbs inf 1 1.4286 0.0960 0.0092 0.9992 0.0200 31272.5619 0.0044 0.4369 0.0960 2 -1.0338 -0.0726 0.0053 1.0048 0.0201 30956.0289 0.0049 0.4912 -0.0726 3 -0.4100 -0.0300 0.0009 1.0095 0.0202 31277.1418 0.0049 0.4891 -0.0300 4 1.0644 0.0744 0.0055 1.0039 0.0201 31114.4810 0.0048 0.4827 0.0744 5 -0.4970 -0.0336 0.0011 1.0080 0.0202 31315.6235 0.0043 0.4285 -0.0336 6 -0.1984 -0.0148 0.0002 1.0095 0.0202 31311.0548 0.0046 0.4574 -0.0148 7 1.0481 0.0680 0.0046 1.0036 0.0201 31294.6471 0.0042 0.4171 0.0680 8 -0.3738 -0.0273 0.0008 1.0096 0.0202 31300.1405 0.0049 0.4852 -0.0273 9 -0.9698 -0.0683 0.0047 1.0054 0.0201 31087.1853 0.0049 0.4912 -0.0683 10 0.8417 0.0561 0.0032 1.0058 0.0201 31285.9234 0.0045 0.4483 0.0561 11 1.0238 0.0657 0.0043 1.0037 0.0201 31297.4093 0.0041 0.4091 0.0657 How can I obtain the study identifications in order to identify them in my dataset? Regards, Daniel [[alternative HTML version deleted]]
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