The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Generic exclusion flow charts

Jack O. Wasey

2019-05-08

PRISMA flow charts are a special case of a common plot used in clinical research. There are many examples where a population is whittled down to a study group, and, in good reports, the process is described. A flow chart is an effective way of presenting this data.

flow_exclusions(
  incl_counts = c(972, 132, 77, 14),
  total_label = "Total Screened",
  incl_labels = c("Consented", "Completed Study", "BMI <= 30"),
  excl_labels = c("Declined Consent", "Failed to Complete", "BMI > 30")
)

flow_exclusions(c(1000, 300, 150, 75, 38), percent_of_total = TRUE)

flow_exclusions(c(100000, 3000, 1666, 411, 38),
                percent_of_prev = TRUE,
                show_count = FALSE)

flow_exclusions(
  incl_counts = c(972, 132, 77, 14),
  total_label = "Total Screened",
  incl_labels = c("Consented", "Completed Study", "BMI <= 30"),
  excl_labels = c("Declined Consent", "Failed to Complete", "BMI > 30"), 
  percent_of_total = TRUE,
  percent_of_prev = FALSE,
  show_count = FALSE,
  font_size = 14)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.