Plot summary of RoB2 assessments

The RoB2 tool, developed by the Cochrane Collaboration, allows assessing the risk of bias in randomized trials. In addition to a study-level traffic light plot, a typical output of RoB2 assessments is a summary of the proportion of studies with a specific bias risk, per domain. This latter type of plot is created by plot_rob2_summary, which requires summarized data (i.e., no data synthesis or calculations are performed by the function).

Usage

plot_rob2_summary(data, domain, judgement, study_share)

Arguments

data

A data.frame.

domain

Unquoted column name for the bias domains.

judgement

Unquoted column name for the risk of bias judgement.

study_share

Unquoted column name for proportion [0, 1] of studies with a specific bias risk per domain. Values in this column must all be numeric.

Value

A ggplot2 object

Examples

library(ggplot2)

data_rob2 <- data.frame(
  domain = rep(
    c(
      "Overall bias",
      "Bias due to deviations from intended interventions",
      "Missing data"
    ),
    each = 3
  ),
  judgement = rep(c("Low", "Some concerns", "High risk of bias"), times = 3),
  study_share = c(0.4, 0.4, 0.2, 0.1, 0.85, 0.05, 0.2, 0.5, 0.3)
)

plot_rob2_summary(
  data_rob2,
  domain = domain,
  judgement = judgement,
  study_share = study_share
)
#> Warning: There was 1 warning in `dplyr::mutate()`.
#> ℹ In argument: `plot_domain = forcats::fct_relevel(...)`.
#> Caused by warning:
#> ! 3 unknown levels in `f`: Bias in selection of reported results, Bias in outcome
#> measurement, and Bias arising from randomisation process