summarize_control_quality: Summarize the control quality of studies

In metaconfoundr: Visualize 'Confounder' Control in Meta-Analyses

Summarize the control quality of studies

Description

summarize_control_quality() allows you to summarize how well studies control for variables within one or more domains, and how well those domains are controlled for overall. Each logical statement is a domain and can be named.

Usage

summarize_control_quality(.df, ..., domains = TRUE)

Arguments

.df	A data frame, usually the result of metaconfoundr()
...	Boolean arguments to declare adequate control logic
domains	Logical. Include the domains in the output? If FALSE, only returns overall control quality.

Value

A tibble

Examples

summary_df <- summarize_control_quality(
  metaconfoundr(ipi),
  Sociodemographics = `Maternal age` & `Race/ethnicity` & `Marital status`,
  Socioeconomics = `SES category` | Insurance & Education,
  "Reproductive Hx" = `Prior pregnancy outcome`
)

summary_df

summary_df %>%
  mc_trafficlight() +
  theme_mc() +
  facet_constructs() +
  geom_cochrane() +
  scale_fill_cochrane()

metaconfoundr documentation built on Jan. 18, 2023, 1:10 a.m.