Code
source("R/nma_functions.R")
dat <- load_pairwise_data()

Data preview

Code
DT::datatable(dat, options = list(pageLength = 10, scrollX = TRUE))

Data summary

Code
knitr::kable(summarise_pairwise_data(dat))
metric value
Studies 15
Pairwise rows 15
Treatments 15
Network connected TRUE
Missing cells (%) 0

Treatment nodes

Code
treatments <- sort(unique(c(dat$treat1, dat$treat2)))
knitr::kable(data.frame(Treatment = treatments))
Treatment
Acal
Acal + O
BR
Clb
Clb + O
FCR
FCR + BR
I
I + R
Ibr + O
Ibr + Ven
Ven + O
Ven + O + Ibr
Ven + R
Zanubrutinib