Execute given checks on Drug Exposure.

Usage

executeChecks(
  cdm,
  ingredients = c(1125315),
  subsetToConceptId = NULL,
  checks = c("missing", "exposureDuration", "quantity"),
  minCellCount = 5,
  sample = 10000,
  tablePrefix = NULL,
  earliestStartDate = "2010-01-01",
  verbose = FALSE,
  byConcept = TRUE
)

Arguments

cdm: CDMConnector reference object
ingredients: vector of ingredients, by default: acetaminophen
subsetToConceptId: vector of concept IDs of the ingredients to filter. If a concept ID is positive it will be included, a negative one will be excluded. If NULL, all concept IDs for an ingredient will be considered.
checks: the checks to be executed, by default the missing values, the exposure duration and the quantity. Possible options are "missing", "exposureDuration", "type", "route", "sourceConcept", "daysSupply", "verbatimEndDate", "dose", "sig", "quantity" and "diagnosticsSummary"
minCellCount: minimum number of events to report- results lower than this will be obscured. If 0 all results will be reported.
sample: the number of samples, default 10.000
tablePrefix: The stem for the permanent tables that will be created when running the diagnostics. Permanent tables will be created using this prefix, and any existing tables that start with this will be at risk of being dropped or overwritten. If NULL, temporary tables will be used throughout.
earliestStartDate: the earliest date from which a record can be included
verbose: verbose, default FALSE
byConcept: boolean argument whether to return results by Concept or overall only

Value

named list with results

Examples

if (FALSE) { # \dontrun{
db <- DBI::dbConnect(" Your database connection here ")
cdm <- CDMConnector::cdm_from_con(
  con = db,
  cdm_schema = "cdm schema name"
)
result <- executeChecks(
  cdm = cdm,
  ingredients = c(1125315)
)
} # }