summariseConceptSetCounts: Summarise concept counts in patient-level data
In OmopSketch: Characterise Tables of an OMOP Common Data Model Instance

View source: R/summariseConceptSetCounts.R

summariseConceptSetCounts

R Documentation

Summarise concept counts in patient-level data

Description

Only concepts recorded during observation period are counted.

Usage

summariseConceptSetCounts(
  cdm,
  conceptSet,
  countBy = c("record", "person"),
  concept = TRUE,
  interval = "overall",
  sex = FALSE,
  ageGroup = NULL,
  dateRange = NULL
)

Arguments

`cdm`	A `cdm_reference` object. Use CDMConnector to create a reference to a database or omock to create a reference to synthetic data.
`conceptSet`	List of concept IDs to summarise.
`countBy`	Either "record" for record-level counts or "person" for person-level counts
`concept`	TRUE or FALSE. If TRUE code use will be summarised by concept.
`interval`	Time interval to stratify by. It can either be "years", "quarters", "months" or "overall".
`sex`	Logical; whether to stratify results by sex (`TRUE`) or not (`FALSE`).
`ageGroup`	A list of age groups to stratify the results by. Each element represents a specific age range. You can give them specific names, e.g. `ageGroup = list(children = c(0, 17), adult = c(18, Inf))`.
`dateRange`	A vector of two dates defining the desired study period. Only the `start_date` column of the OMOP table is checked to ensure it falls within this range. If `dateRange` is `NULL`, no restriction is applied.