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

In ctrdata: Retrieve and Analyze Clinical Trials in Public Registers

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 from protocol-related information. (See dfMergeVariablesRelevel example for healthy volunteers.)

Usage

f.trialPopulation(df = NULL)

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.

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).

Examples

# fields needed
f.trialPopulation()

## Not run: 

# 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)

## End(Not run)

ctrdata documentation built on April 3, 2025, 8:12 p.m.