createCharacterizationSettings: Create characterization settings (optional, only for OMOP-CDM...

In mi-erasmusmc/TreatmentPatterns: A package to analyse real-world treatment patterns of a study population of interest

Create characterization settings (optional, only for OMOP-CDM data ).

Description

Create characterization settings (optional, only for OMOP-CDM data ).

Usage

createCharacterizationSettings(
  baselineCovariates_location = NULL,
  baselineCovariates = data.frame(covariateName = c("Male", "Age",
    "Charlson comorbidity index score"), covariateId = c(8507001, 1002, 1901)),
 
    standardCovariateSettings = FeatureExtraction::createCovariateSettings(useDemographicsAge
    = TRUE, useDemographicsGender = TRUE, useDemographicsTimeInCohort = TRUE,
    useDemographicsPostObservationTime = TRUE, useConditionGroupEraAnyTimePrior = TRUE,
    useConditionGroupEraLongTerm = TRUE, useCharlsonIndex = TRUE),
  returnCovariates = "all",
  minCellCount = 5
)

Arguments

baselineCovariates_location	Optional: Location of saved baselineCovariates object.
baselineCovariates	Data frame containing the baseline characteristics of interest (covariateName = "Descriptive name covariate", covariateId = "Unique ID number referring to covariate from FeatureExtraction or 'Custom' (see explanation below)"), covariateId can be "custom" if SQL code is
standardCovariateSettings	An object of type covariateSettings as created using the createCovariateSettings function in the FeatureExtraction package.
returnCovariates	Return "all" features or only "selection" of features
minCellCount	Minimum number of persons with a specific baseline covariate to be included in analysis

Value

Object characterizationSettings.

mi-erasmusmc/TreatmentPatterns documentation built on July 1, 2023, 9:20 p.m.