fwdplotest: Forward plots of summary treatment estimates

In NMAoutlier: Detecting Outliers in Network Meta-Analysis

Description

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

Usage

fwdplotest(x)

Arguments

x	object of class NMAoutlier (mandatory).

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.

Author(s)

Maria Petropoulou <[e-mail]>

Examples

## Not run: 
data(smokingcessation, package = "netmeta")
smokingcessation$id <- 1:nrow(smokingcessation)

study912 <- subset(smokingcessation, id %in% 9:12)
p1 <- netmeta::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, package = "netmeta")

# 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 <- netmeta::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)

## End(Not run)

NMAoutlier documentation built on Oct. 11, 2021, 5:23 p.m.