
Summarise code use among a cohort in the cdm reference
summariseCohortCodeUse.RdSummarise code use among a cohort in the cdm reference
Usage
summariseCohortCodeUse(
cdm,
cohortTable,
x = NULL,
cohortId = NULL,
timing = "any",
countBy = c("record", "person"),
byConcept = TRUE,
byYear = FALSE,
bySex = FALSE,
ageGroup = NULL,
useSourceCodes = FALSE
)Arguments
- cdm
A cdm reference to an OMOP CDM dataset. If data is held within a database, the vocabulary tables should be in the same schema as the clinical tables (person, observation period, and so on).
- cohortTable
A cohort table from the cdm reference.
- x
A codelist or cohort table name.
- cohortId
A vector of cohort IDs to include
- timing
When to assess the code use relative cohort dates. This can be "any"(code use any time by individuals in the cohort) or "entry" (code use on individuals' cohort start date).
- countBy
Either "record" for record-level counts or "person" for person-level counts.
- byConcept
TRUE or FALSE. If TRUE code use will be summarised by concept.
- byYear
TRUE or FALSE. If TRUE code use will be summarised by year.
- bySex
TRUE or FALSE. If TRUE code use will be summarised by sex.
- ageGroup
If not NULL, a list of ageGroup vectors of length two.
- useSourceCodes
Whether the codelist provided contains source codes (TRUE) or standard codes (FALSE).
Examples
if (FALSE) { # \dontrun{
library(CodelistGenerator)
library(duckdb)
library(DBI)
library(CDMConnector)
con <- dbConnect(duckdb(),
dbdir = eunomiaDir())
cdm <- cdmFromCon(con,
cdmSchema = "main",
writeSchema = "main")
cdm <- generateConceptCohortSet(cdm = cdm,
conceptSet = list(a = 260139,
b = 1127433),
name = "cohorts",
end = "observation_period_end_date",
overwrite = TRUE)
results_cohort_mult <-
summariseCohortCodeUse(omopgenerics::newCodelist(list(cs = c(260139,19133873))),
cdm = cdm,
cohortTable = "cohorts",
timing = "entry")
results_cohort_mult
CDMConnector::cdmDisconnect(cdm)
} # }