anticoagulation_df {metainc} | R Documentation |
Data set from meta-analysis on the association between parenteral anticoagulation and mortality in patients with cancer (Akl et al., 2017). For each primary study, results are expressed as a log odds ratio.
Data frame containing, for each primary study of the meta-analysis from Akl et al. (2017):
number of events (variables rA
and rB
) and
total number of participants (nA
and nB
) for each
group,
effect sizes [ln OR] (yi
),
respective variances (vi
),
risk of bias assessment (RoB
).
Akl, E. A., Kahale, L. A., Hakoum, M. B., Matar, C. F., Sperati, F., Barba, M., et al. (2017). “Parenteral anticoagulation in ambulatory patients with cancer.” Cochrane Database of Systematic Reviews, 9: CD006652.
data(anticoagulation_df)
m1 <- meta::metagen(yi, sqrt(vi), sm = "OR", data = anticoagulation_df,
studlab = LETTERS[1:18])
set.seed(1090) # Make sampled effect sizes reproducible
sample1 <- getsamples(m1)
dis1 <- inc(sample1, dt1 = 16, dt2 = 31, dt3 = 60, br = 0.504, sm = "OR")
dis1
if(requireNamespace("metafor")){
# Same sampled effect sizes using R package 'metafor' (must be installed)
m2 <- metafor::rma(anticoagulation_df, measure = "OR", slab = LETTERS[1:18])
set.seed(1090) # Make sampled effect sizes reproducible
sample2 <- getsamples(m2)
dis2 <- inc(sample2, dt1 = 16, dt2 = 31, dt3 = 60, br = 0.504, sm = "OR")
dis2
all.equal(sample1, sample2) # Only difference: package name
}