anticoagulation_df {metainc}

Meta-analysis on the association between parenteral anticoagulation and mortality in patients with cancer

Description

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.

Details

Data frame containing, for each primary study of the meta-analysis from Akl et al. (2017):

1. number of events (variables rA and rB) and total number of participants (nA and nB) for each group,

2. effect sizes [ln OR] (yi),

3. respective variances (vi),

4. risk of bias assessment (RoB).

Source

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.

See Also

inc, anticoagulation

Examples

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
}