is_network_connected: Check network connectedness

In multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

Check network connectedness

Description

Check whether a network is connected - whether there is a path of study evidence linking every pair of treatments in the network.

Usage

is_network_connected(network)

Arguments

network

An nma_data object, as created by the functions ⁠set_*()⁠ or combine_network().

Details

Models will still run with disconnected networks. However, estimated relative effects between treatments across disconnected parts of the network will be entirely based on the prior distribution (typically very uncertain), as there is no information to update the prior distribution. Relative effects within each connected sub-network will be estimated as if each sub-network had been analysed separately.

Value

Logical TRUE or FALSE

Examples

## Smoking cessation
# Set up network of smoking cessation data
head(smoking)

smk_net <- set_agd_arm(smoking,
                       study = studyn,
                       trt = trtc,
                       r = r,
                       n = n,
                       trt_ref = "No intervention")

# Print details
smk_net

is_network_connected(smk_net)  # TRUE, network is connected
## A disconnected network
disc_net <- set_agd_arm(smoking[smoking$studyn %in% c(15, 21), ],
                        study = studyn,
                        trt = trtc,
                        r = r,
                        n = n)
is_network_connected(disc_net)  # FALSE, network is disconnected
disc_net
plot(disc_net)

multinma documentation built on May 31, 2023, 5:46 p.m.