ctrdata (version 1.22.0)

f.trialPopulation: Calculate in- and exclusion criteria and age groups

Description

Trial concept calculated: inclusion and exclusion criteria as well as age groups that can participate in a trial, based on protocol-related information. Since CTGOV uses single text field for eligibility criteria, text extraction is used to separate in- and exclusion criteria. (See dfMergeVariablesRelevel with an example for healthy volunteers.)

Usage

f.trialPopulation(df = NULL)

Value

data frame with columns `_id` and new columns: `.trialPopulationAgeGroup` (factor, "P", "A", "P+A", "E", "A+E", "P+A+E"), `.trialPopulationInclusion` (string), `.trialPopulationExclusion` (string).

Arguments

df

data frame such as from dbGetFieldsIntoDf. If `NULL`, prints fields needed in `df` for calculating this trial concept, which can be used with dbGetFieldsIntoDf.

Examples

# fields needed
f.trialPopulation()

# apply trial concept when creating data frame
dbc <- nodbi::src_sqlite(
  dbname = system.file("extdata", "demo.sqlite", package = "ctrdata"),
  collection = "my_trials", flags = RSQLite::SQLITE_RO)
trialsDf <- dbGetFieldsIntoDf(
  calculate = "f.trialPopulation",
  con = dbc)
trialsDf