createStratifiedImputationSettings: Create the settings for using stratified imputation.

In OHDSI/PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model

Create the settings for using stratified imputation.

Description

Create the settings for using stratified imputation.

Usage

createStratifiedImputationSettings(covariateId, ageSplits = NULL)

Arguments

covariateId	The covariateId that needs imputed values
ageSplits	A vector of age splits in years to create age groups

Details

Returns an object of class featureEngineeringSettings that specifies how to do stratified imputation. This function splits the covariate into age groups and fits splines to the covariate within each age group. The spline values are then used to impute missing values.

Value

An object of class featureEngineeringSettings

Examples

# create a stratified imputation settings for covariate 1050 with age splits 
# at 50 and 70
stratifiedImputationSettings <- 
  createStratifiedImputationSettings(covariateId = 1050, ageSplits = c(50, 70))

OHDSI/PatientLevelPrediction documentation built on Feb. 14, 2025, 9:44 a.m.