NMAoutlier (version 0.2.0)

fwdplotest: Forward plots of summary treatment estimates

Description

Forward plots of summary treatment estimates with their 95 percent confidence intervals.

Usage

fwdplotest(x)

Arguments

x

object of class NMAoutlier (mandatory).

Author

Maria Petropoulou <[e-mail]>

Details

Plot of summary treatment estimates and their confidence intervals for each FS iteration. Vertical axis provides the FS iterations. Horizontal axis provides summary treatment estimates.

Examples

if (FALSE) {
library("netmeta")
data(smokingcessation)
smokingcessation$id <- 1:nrow(smokingcessation)

study912 <- subset(smokingcessation, id %in% 9:12)
p1 <- pairwise(list(treat1, treat2, treat3),
  list(event1, event2, event3), list(n1, n2, n3),
  data = study912, sm = "OR")

# Forward search algorithm
#
FSresult <- NMAoutlier(p1, P = 1, small.values = "bad", n_cores = 2)

# Forward plot for summary treatment estimates and their confidence
# intervals
#
fwdplotest(FSresult)

data(smokingcessation)

# Transform data from arm-based format to contrast-based format
# We use 'sm' argument for odds ratios.
# We use function pairwise from netmeta package
#
p1 <- pairwise(list(treat1, treat2, treat3),
  list(event1, event2, event3), list(n1, n2, n3),
  data = smokingcessation, sm = "OR")

# forward search algorithm
FSresult <- NMAoutlier(p1, small.values = "bad")

# Forward plot for summary treatment estimates
# and their confidence intervals
fwdplotest(FSresult)
}