Summarise concept use in patient-level data

Usage

summariseConceptIdCounts(
  cdm,
  omopTableName,
  countBy = "record",
  year = FALSE,
  sex = FALSE,
  ageGroup = NULL,
  sample = NULL,
  dateRange = NULL
)

Arguments

cdm: A cdm object
omopTableName: A character vector of the names of the tables to summarise in the cdm object.
countBy: Either "record" for record-level counts or "person" for person-level counts
year: TRUE or FALSE. If TRUE code use will be summarised by year.
sex: TRUE or FALSE. If TRUE code use will be summarised by sex.
ageGroup: A list of ageGroup vectors of length two. Code use will be thus summarised by age groups.
sample: An integer to sample the tables to only that number of records. If NULL no sample is done.
dateRange: A list containing the minimum and the maximum dates defining the time range within which the analysis is performed.

Value

A summarised_result object with results overall and, if specified, by strata.

Examples

# \donttest{
library(OmopSketch)
library(CDMConnector)
library(duckdb)
#> Loading required package: DBI

requireEunomia()
#> ℹ `EUNOMIA_DATA_FOLDER` set to: /tmp/RtmpluHOJM.
#> 
#> Download completed!
con <- dbConnect(duckdb(), eunomiaDir())
#> Creating CDM database /tmp/RtmpluHOJM/GiBleed_5.3.zip
cdm <- cdmFromCon(con = con, cdmSchema = "main", writeSchema = "main")
#> ! cdm name not specified and could not be inferred from the cdm source table

summariseConceptIdCounts(cdm, "condition_occurrence")
#> # A tibble: 80 × 13
#>    result_id cdm_name            group_name group_level strata_name strata_level
#>        <int> <chr>               <chr>      <chr>       <chr>       <chr>       
#>  1         1 An OMOP CDM databa… omop_table condition_… overall     overall     
#>  2         1 An OMOP CDM databa… omop_table condition_… overall     overall     
#>  3         1 An OMOP CDM databa… omop_table condition_… overall     overall     
#>  4         1 An OMOP CDM databa… omop_table condition_… overall     overall     
#>  5         1 An OMOP CDM databa… omop_table condition_… overall     overall     
#>  6         1 An OMOP CDM databa… omop_table condition_… overall     overall     
#>  7         1 An OMOP CDM databa… omop_table condition_… overall     overall     
#>  8         1 An OMOP CDM databa… omop_table condition_… overall     overall     
#>  9         1 An OMOP CDM databa… omop_table condition_… overall     overall     
#> 10         1 An OMOP CDM databa… omop_table condition_… overall     overall     
#> # ℹ 70 more rows
#> # ℹ 7 more variables: variable_name <chr>, variable_level <chr>,
#> #   estimate_name <chr>, estimate_type <chr>, estimate_value <chr>,
#> #   additional_name <chr>, additional_level <chr>
# }