It creates column to indicate the days of difference from an index date to a concept

It creates column to indicate the days of difference from an index date to a concept

Usage

addConceptIntersectDays(
  x,
  conceptSet,
  indexDate = "cohort_start_date",
  censorDate = NULL,
  window = list(c(0, Inf)),
  targetDate = "event_start_date",
  order = "first",
  nameStyle = "{concept_name}_{window_name}"
)

Arguments

x

Table with individuals in the cdm.

conceptSet

Concept set list.

indexDate

Variable in x that contains the date to compute the intersection.

censorDate

whether to censor overlap events at a date column of x

window

window to consider events in.

targetDate

Event date to use for the intersection.

order

last or first date to use for date/days calculations.

nameStyle

naming of the added column or columns, should include required parameters.

Value

table with added columns with overlap information

Examples

# \donttest{
library(PatientProfiles)
cdm <- mockPatientProfiles()
concept <- dplyr::tibble(
  concept_id = c(1125315),
  domain_id = "Drug",
  vocabulary_id = NA_character_,
  concept_class_id = "Ingredient",
  standard_concept = "S",
  concept_code = NA_character_,
  valid_start_date = as.Date("1900-01-01"),
  valid_end_date = as.Date("2099-01-01"),
  invalid_reason = NA_character_
) %>%
  dplyr::mutate(concept_name = paste0("concept: ", .data$concept_id))
cdm <- CDMConnector::insertTable(cdm, "concept", concept)
result <- cdm$cohort1 %>%
  addConceptIntersectDays(
    conceptSet = list("acetaminophen" = 1125315)
  ) %>%
  dplyr::collect()
mockDisconnect(cdm = cdm)
# }