summariseMissingData: Summarise missing data in omop tables

In OmopSketch: Characterise Tables of an OMOP Common Data Model Instance

Summarise missing data in omop tables

Description

Summarise missing data in omop tables

Usage

summariseMissingData(
  cdm,
  omopTableName,
  col = NULL,
  sex = FALSE,
  year = lifecycle::deprecated(),
  interval = "overall",
  ageGroup = NULL,
  sample = 1e+06,
  dateRange = NULL
)

Arguments

cdm	A cdm object
omopTableName	A character vector of the names of the tables to summarise in the cdm object.
col	A character vector of column names to check for missing values. If NULL, all columns in the specified tables are checked. Default is NULL.
sex	TRUE or FALSE. If TRUE code use will be summarised by sex.
year	deprecated
interval	Time interval to stratify by. It can either be "years", "quarters", "months" or "overall".
ageGroup	A list of ageGroup vectors of length two. Code use will be thus summarised by age groups.
sample	An integer to sample the table to only that number of records. If NULL no sample is done.
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.

Value

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

Examples

cdm <- mockOmopSketch(numberIndividuals = 100)

result <- summariseMissingData (cdm = cdm,
omopTableName = c("condition_occurrence", "visit_occurrence"))

PatientProfiles::mockDisconnect(cdm)

OmopSketch documentation built on June 8, 2025, 1:36 p.m.